BibTeX
@InProceedings{adel2018domainindependent,
address = {Brussels, Belgium},
author = {Adel, Heike and Bostan, Laura Ana Maria and Papay, Sean and Padó, Sebastian and Klinger, Roman},
booktitle = {Proceedings of EMNLP},
title = {DERE: A task and domain-independent slot filling framework for declarative relation extraction},
abstract = { Most machine learning systems for natural language processing are
tailored to specific tasks. As a result, comparability of models
across tasks is missing and their applicability to new tasks is
limited. This affects end users without machine learning experience
as well as model developers. To address these limitations, we
present DeRe, a novel framework for declarative specification and
compilation of template-based information extraction. It uses a
generic specification language for the task and for data annotations
in terms of spans and frames. This formalism enables the
representation of a large variety of natural language processing
challenges. The backend can be instantiated by different models,
following different paradigms. The clear separation of frame
specification and model backend will ease the implementation of new
models and the evaluation of different models across different
tasks. Furthermore, it simplifies transfer learning, joint learning
across tasks and/or domains as well as the assessment of model
generalizability. DeRe is available as open source.},
year = {2018},
url = {https://aclweb.org/anthology/D18-2008.pdf},
pages = {42-47}}
@InProceedings{Aisopos2012,
author = {Aisopos, Fotis and Kardara, Magdalini and Senger, Philipp and Klinger,
Roman and Papaoikonomou, Athanasios and Tserpes, Konstantinos and
Gardner, Michael and Varvarigou, Theodora A.},
title = {E-Government and Policy Simulation in Intelligent Virtual Environments.},
booktitle = {WEBIST},
year = {2012},
editor = {Krempels, Karl-Heinz and Cordeiro, José},
pages = {129-135},
publisher = {SciTePress},
pdf = {https://www.romanklinger.de/publications/+Spaces_WEBIST.pdf},
url = {http://dblp.uni-trier.de/db/conf/webist/webist2012.html#AisoposKSKPTGV12}
}
@inproceedings{Armbrust2020,
title = "A Computational Analysis of Financial and
Environmental Narratives within Financial Reports
and its Value for Investors",
author = {Armbrust, Felix and Sch{ä}fer, Henry and Klinger,
Roman},
booktitle = "Proceedings of the 1st Joint Workshop on Financial
Narrative Processing and MultiLing Financial
Summarisation",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "COLING",
url = "https://www.aclanthology.org/2020.fnp-1.31",
pages = "181-194",
}
@article{Bagewadi2014,
author = {Shweta Bagewadi and Tamara BobiÄ and Martin Hofmann-Apitius and
Juliane Fluck and Roman Klinger},
title = {Detecting miRNA Mentions and Relations in Biomedical Literature [version
3; referees: 2 approved, 1 approved with reservations]},
journal = {F1000Research},
year = {2014},
volume = {3},
number = {205},
doi = {10.12688/f1000research.4591.3},
url = {http://f1000research.com/articles/3-205/v3}
}
@InProceedings{Balahur2019,
title = "Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
booktitle = "Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
author = "Balahur, Alexandra and
Klinger, Roman and
Hoste, Veronique and
Strapparava, Carlo and
{de Clercq}, Orph{e}e",
year = "2019",
address = "Minneapolis, USA",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/W19-1300",
entrysubtype={ws}
}
@InProceedings{Balahur2018,
author = "Balahur, Alexandra
and Mohammad, Saif M.
and Hoste, Veronique
and Klinger, Roman",
title = "Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
booktitle = "Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
year = "2018",
publisher = "Association for Computational Linguistics",
location = "Brussels, Belgium",
url = "https://www.aclweb.org/anthology/W18-6200",
entrysubtype={ws}
}
@article{Barnes2019,
author = {Jeremy Barnes and Roman Klinger},
title = {Embedding Projection for Targeted Cross-Lingual Sentiment: Model Comparisons and a Real-World Study},
journal = {Journal of Artificial Intelligence Research},
year = {2019},
volume = {66},
pages = {691-742},
doi = {10.1613/jair.1.11561},
entrysubtype={journal},
}
@InProceedings{BarnesEtAl:17,
author = {Barnes, Jeremy and Klinger, Roman and {Schulte im Walde}, Sabine},
title = {{Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets}},
booktitle = {Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
year = {2017},
address = {Copenhagen, Denmark},
pages = {2-12},
}
@InProceedings{Barnes2018,
author = {Jeremy Barnes and Roman Klinger and Sabine {Schulte im Walde}},
title = {Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages},
booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational
Linguistics},
year = {2018},
address = {Melbourne, Australia},
month = {July},
pages = {2483-2493},
pdf = {https://www.romanklinger.de/publications/barnes-et-al-2018.pdf}
}
@InProceedings{Barnes2018a,
author = {Barnes, Jeremy and Roman Klinger and Schulte im Walde, Sabine},
title = {Projecting Embeddings across Domains: a Cross-lingual Approach to Domain Adaptation for Sentiment Analysis},
booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
month = {August},
year = {2018},
pages = {818-830},
address = {Santa Fe, USA},
}
@InProceedings{Barth2018,
author = {Florian Barth and Evgeny Kim and Sandra Murr and Roman Klinger},
title = {A Reporting Tool for Relational Visualization and Analysis of Character Mentions in Literature},
booktitle = {Book of Abstracts -- Digital Humanities im deutschsprachigen Raum},
year = {2018},
address = {Cologne, Germany},
month = {March},
url = {https://www.romanklinger.de/publications/BarthKimMurrKlinger2018.html},
pdf = {https://www.romanklinger.de/publications/barth2018dhd.pdf}
}
@article{Bobic2013,
author = {Tamara Bobic and Roman Klinger},
title = {Committee-based Selection of Weakly Labeled Instances for Learning
Relation Extraction},
journal = {Research in Computing Science},
year = {2013},
volume = {70},
pages = {187-197},
note = {Proceedings of the Conference on Intelligent Text Processing and
Computational Linguistics},
pdf = {https://www.romanklinger.de/publications/bobic-klinger-cicling2013.pdf},
url = {http://www.micai.org/rcs/2013_70/Committee-based}
@InProceedings{Bobic2012,
author = {Bobic, Tamara and Klinger, Roman and Thomas, Philippe and Hofmann-Apitius,
Martin},
title = {Improving Distantly Supervised Extraction of Drug-Drug and Protein-Protein
Interactions},
booktitle = {Proceedings of the Joint Workshop on Unsupervised and Semi-Supervised
Learning in NLP},
year = {2012},
pages = {35-43},
address = {Avignon, France},
month = {April},
publisher = {Association for Computational Linguistics},
url = {https://www.aclweb.org/anthology/W12-0705}
}
@InProceedings{Bostan2020,
title = "{G}ood{N}ews{E}veryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception",
author = "Bostan, Laura Ana Maria and
Kim, Evgeny and
Klinger, Roman",
booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://www.aclweb.org/anthology/2020.lrec-1.194",
pages = "1554-1566",
abstract = "Most research on emotion analysis from text focuses on the task of emotion classification or emotion intensity regression. Fewer works address emotions as a phenomenon to be tackled with structured learning, which can be explained by the lack of relevant datasets. We fill this gap by releasing a dataset of 5000 English news headlines annotated via crowdsourcing with their associated emotions, the corresponding emotion experiencers and textual cues, related emotion causes and targets, as well as the reader{'}s perception of the emotion of the headline. This annotation task is comparably challenging, given the large number of classes and roles to be identified. We therefore propose a multiphase annotation procedure in which we first find relevant instances with emotional content and then annotate the more fine-grained aspects. Finally, we develop a baseline for the task of automatic prediction of semantic role structures and discuss the results. The corpus we release enables further research on emotion classification, emotion intensity prediction, emotion cause detection, and supports further qualitative studies.",
language = "English",
ISBN = "979-10-95546-34-4",
pdf = {https://www.romanklinger.de/publications/BostanKimKlinger2020LREC.pdf},
}
@InProceedings{Bostan2018,
author = "Bostan, Laura Ana Maria
and Klinger, Roman",
title = "An Analysis of Annotated Corpora for Emotion Classification in Text",
booktitle = "Proceedings of the 27th International Conference on Computational Linguistics",
year = "2018",
publisher = "Association for Computational Linguistics",
pages = "2104-2119",
location = "Santa Fe, New Mexico, USA",
url = "https://www.aclweb.org/anthology/C18-1179",
entrysubtype={conf},
}
@InProceedings{Bostan2019,
author = "Bostan, Laura Ana Maria and
Klinger, Roman",
title = {Exploring fine-tuned embeddings that model intensifiers for emotion analysis},
booktitle = "Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
page={2104-2119},
year = "2019",
address = "Minneapolis, USA",
publisher = "Association for Computational Linguistics",
url = {https://www.aclweb.org/anthology/W19-1304},
entrysubtype={ws}
}
@InProceedings{Braun2018,
author = {Manuel Braun and Roman Klinger and Sebastian Padó and Gabriel Viehhauser},
title = {{Digitale Modellierung von Figurenkomplexität am Beispiel des Parzival von Wolfram von Eschenbach}},
booktitle = {Book of Abstracts -- Digital Humanities im deutschsprachigen Raum},
year = {2018},
address = {Cologne, Germany},
month = {March},
url = {https://www.romanklinger.de/publications/BraunKlingerPadoViehhauser2018.html},
pdf = {https://www.romanklinger.de/publications/viehhauser2018dhd.pdf}
}
@InProceedings{Brazda2017,
author = {Nicole Brazda and Hendrik ter Horst and Matthias Hartung and Cord Wiljes and Veronica Estrada and Roman Klinger and Wolfgang Kuchinke and Hans Werner Müller and Philipp Cimiano},
title = {{SCIO}: An Ontology to Support the Formalization of Pre-Clinical Spinal Cord Injury Experiments},
booktitle = {Workshop on Ontologies and Data in Life Sciences (ODLS 2017), Joint Workshops on Ontologies (JOWO)},
year = {2017},
address = {Bolzano, Italy},
month = {September},
pdf = {http://ceur-ws.org/Vol-2050/ODLS_paper_11.pdf},
url = {https://pub.uni-bielefeld.de/download/2913603/2913881}
}
@InProceedings{Buschmeier2014,
author = {Buschmeier, Konstantin and Cimiano, Philipp and Klinger, Roman},
title = {An Impact Analysis of Features in a Classification Approach to Irony
Detection in Product Reviews},
booktitle = {Proceedings of the 5th Workshop on Computational Approaches to Subjectivity,
Sentiment and Social Media Analysis},
year = {2014},
pages = {42-49},
address = {Baltimore, Maryland},
month = {June},
publisher = {Association for Computational Linguistics},
url = {https://www.aclweb.org/anthology/W14-2608}
}
@InProceedings{Butzken2005,
author = {Miriam Bützken and Stefan Edelkamp and Abdelaziz Elalaoui and Kenneth
Kahl and Rachid Karmouni and Roman Klinger and Khalid Lahiane and
Andrea Matuszewski and Tilman Mehler and Mohammed Nazih and
Michael Nelskamp and Arne Wiggers},
title = {{An Integrated Toolkit for Modern Action Planning}},
booktitle = {19th Workshop on New Results in Planning, Scheduling and Design (PUK)},
year = {2005},
pages = {1-11},
owner = {rklinger},
pdf = {http://www.puk-workshop.de/puk2005/paper/1_puk1.pdf},
timestamp = {2006.12.13}
}
@inproceedings{Casel2021,
title = "Emotion Recognition under Consideration of the
Emotion Component Process Model",
author = "Casel, Felix and Heindl, Amelie and Klinger, Roman",
booktitle = "Proceedings of the 17th Conference on Natural
Language Processing (KONVENS 2021)",
year = "2021",
address = {D{ü}sseldorf, Germany},
publisher = "KONVENS 2021 Organizers",
url = "https://aclanthology.org/2021.konvens-1.5",
pages = "49-61",
}
@inproceedings{DoanDang2021,
title = "Emotion Stimulus Detection in {G}erman News
Headlines",
author = {Doan Dang, Bao Minh and Oberl{ä}nder, Laura and
Klinger, Roman},
booktitle = "Proceedings of the 17th Conference on Natural
Language Processing (KONVENS 2021)",
year = "2021",
address = {D{ü}sseldorf, Germany},
publisher = "KONVENS 2021 Organizers",
url = "https://aclanthology.org/2021.konvens-1.7",
pages = "73-85",
}
@Article{Ehrlicher2019,
author = {Hanno Ehrlicher and Roman Klinger and Jörg Lehmann and Sebastian Padó},
title = {Measuring Historical Emotions and Their Evolution:
An Interdisciplinary Endeavour to Investigate The
`Emotions of Encounter'},
journal = {Laboratório Interdisciplinar sobre Informa {c}~{a}o e Conhecimento em revista (Liinc em revista)},
year = {2019},
volume = {15},
number = {1},
pages = {},
doi = {10.18617/liinc.v15i1.4557},
pdf = {https://www.romanklinger.de/publications/EhrlicherEtAl2019.pdf},
entrysubtype={journal},
}
@InProceedings{Friedrich2009,
author = {Christoph M. Friedrich and Roman Klinger},
title = {{rSMILE, an interface to the Bayesian Network package GeNIe/SMILE}},
booktitle = {Book of Abstracts of the R User Conference (useR!)},
year = {2009},
pages = {104},
address = {Rennes, France},
owner = {rklinger},
pdf = {https://www.romanklinger.de/publications/Klinger_Friedrich2009.pdf},
timestamp = {2016.03.31}
}
@TechReport{Grimminger2021,
author = {Lara Grimminger},
title = {Sleepy Joe vs. DonTheCon: Hate Speech Detection and Stance Classification in the 2020 US elections},
institution = {Institut für Maschinelle Sprachverarbeitung, Universität Stuttgart},
year = {2021},
type = {Bachelorarbeit},
howpublished = {Bachelorarbeit},
key = {Bachelorarbeit},
note = {{E}xaminer: Roman Klinger},
keywords = {Masterarbeit, Bachelorarbeit, Abschlussarbeit}
}
@InProceedings{Gurulingappa2010,
author = {Harsha Gurulingappa and Roman Klinger and Martin Hofmann-Apitius
and Juliane Fluck },
title = {An Empirical Evaluation of Resources for the Identification of Diseases
and Adverse Effects in Biomedical Literature},
booktitle = {{2nd Workshop on Building and evaluating resources for biomedical
text mining (7th edition of the Language Resources and Evaluation
Conference)}},
year = {2010},
address = {Valetta, Malta},
month = {May},
owner = {rklinger},
pdf = {http://www.nactem.ac.uk/biotxtm/papers/Gurulingappa.pdf},
timestamp = {2016.03.31}
}
@InProceedings{Gurulingappa2009,
author = {Harsha Gurulingappa and Bernd Müller and Roman Klinger and Heinz-Theo
Mevissen and Martin Hofmann-Apitius and Juliane Fluck and Christoph
M. Friedrich},
title = {Patent Retrieval in Chemistry based on semantically tagged Named
Entities},
booktitle = {The Eighteenth Text RETrieval Conference (TREC 2009) Proceedings},
year = {2009},
editor = {Ellen M. Voorhees and Lori P. Buckland},
address = {Gaithersburg, Maryland, USA},
month = {November},
owner = {rklinger},
pdf = {http://trec.nist.gov/pubs/trec18/papers/scai.CHEM.pdf},
timestamp = {2016.03.31}
}
@InProceedings{Haider2020,
title = "{PO}-{EMO}: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in {G}erman and {E}nglish Poetry",
author = "Haider, Thomas and
Eger, Steffen and
Kim, Evgeny and
Klinger, Roman and
Menninghaus, Winfried",
booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://www.aclweb.org/anthology/2020.lrec-1.205",
pages = "1652-1663",
abstract = "Most approaches to emotion analysis of social media, literature, news, and other domains focus exclusively on basic emotion categories as defined by Ekman or Plutchik. However, art (such as literature) enables engagement in a broader range of more complex and subtle emotions. These have been shown to also include mixed emotional responses. We consider emotions in poetry as they are elicited in the reader, rather than what is expressed in the text or intended by the author. Thus, we conceptualize a set of aesthetic emotions that are predictive of aesthetic appreciation in the reader, and allow the annotation of multiple labels per line to capture mixed emotions within their context. We evaluate this novel setting in an annotation experiment both with carefully trained experts and via crowdsourcing. Our annotation with experts leads to an acceptable agreement of k = .70, resulting in a consistent dataset for future large scale analysis. Finally, we conduct first emotion classification experiments based on BERT, showing that identifying aesthetic emotions is challenging in our data, with up to .52 F1-micro on the German subset. Data and resources are available at https://github.com/tnhaider/poetry-emotion.",
language = "English",
ISBN = "979-10-95546-34-4",
pdf = {https://www.romanklinger.de/publications/HaiderEgerKimKlingerMenninghaus2020LREC_PO-EMO.pdf},
}
@InProceedings{Hartung2017a,
author = {Matthias Hartung and Roman Klinger and Lars Vogel and Franziska Schmidtke},
title = {Ranking Right-Wing Extremist Social Media Profiles by Similarity to Democratic and Extremist Groups},
booktitle = {Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
year = {2017},
address = {Copenhagen, Denmark},
organization = {Workshop at Conference on Empirical Methods in Natural Language Processing},
publisher = {Association for Computational Linguistics},
pdf = {https://www.aclweb.org/anthology/W/W17/W17-5204.pdf},
url = {https://pub.uni-bielefeld.de/publication/2912757}
}
@InProceedings{Hartung2014,
author = {Hartung, Matthias and Klinger, Roman and Zwick, Matthias and Cimiano,
Philipp},
title = {Towards Gene Recognition from Rare and Ambiguous Abbreviations using
a Filtering Approach},
booktitle = {Proceedings of BioNLP 2014},
year = {2014},
pages = {118-127},
address = {Baltimore, Maryland},
month = {June},
publisher = {Association for Computational Linguistics},
url = {https://www.aclweb.org/anthology/W14-3418}
}
@InProceedings{Hartung2018,
author = {Matthias Hartung and Hendrik {ter Horst} and Frank Grimm and Tim Diekmann and Roman Klinger and Philipp Cimiano},
title = {SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling},
booktitle = {Proceedings of ACL 2018, System Demonstrations},
year = {2018},
address = {Melbourne, Australia},
publisher = {Association for Computational Linguistics},
}
@inproceedings{Hofmann2021,
title = "Emotion-Aware, Emotion-Agnostic, or Automatic:
Corpus Creation Strategies to Obtain Cognitive Event
Appraisal Annotations",
author = "Hofmann, Jan and Troiano, Enrica and Klinger, Roman",
booktitle = "Proceedings of the Eleventh Workshop on
Computational Approaches to Subjectivity, Sentiment
and Social Media Analysis",
month = apr,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclanthology.org/2021.wassa-1.17",
pages = "160-170",
}
@inproceedings{Hofmann2020b,
title = "Appraisal Theories for Emotion Classification in
Text",
author = "Hofmann, Jan and Troiano, Enrica and Sassenberg, Kai
and Klinger, Roman",
booktitle = "Proceedings of the 28th International Conference on
Computational Linguistics",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational
Linguistics",
url =
"https://www.aclanthology.org/2020.coling-main.11",
doi = "10.18653/v1/2020.coling-main.11",
pages = "125-138",
}
@article{Hofmann2008,
author = {Martin Hofmann-Apitius and Juliane Fluck and Laura Furlong and Oriol
Fornes and Corinna {Kol{á}{ v r}ik} and Susanne Hanser and Martin
Boecker and Stefan Schultz and Ferran Sanz and Roman Klinger and
Theo Mevissen and Tobias Gatterneyer and Baldo Oliva and Christoph
Friedrich},
title = {Knowledge Environments Representing Molecular Entities for the Virtual
Physiological Human},
journal = {Philosophical Transactions of the Royal Society A},
year = {2008},
note = {PMID 18559317},
doi = {10.1098/rsta.2008.0099},
owner = {rklinger},
timestamp = {2016.03.31}
}
@inproceedings{Kadikis2022,
title = "Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference",
author = "Kadi{ c {k}}is, Em{i}ls and
Srivastav, Vaibhav and
Klinger, Roman",
booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
month = jul,
year = "2022",
address = "Seattle, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.naacl-main.441",
pages = "6031-6037",
}
@InProceedings{kessler2015,
author = {Kessler, Wiltrud and Klinger, Roman and Kuhn, Jonas},
title = {Towards Opinion Mining from Reviews for the Prediction of Product
Rankings},
booktitle = {Proceedings of the 6th Workshop on Computational Approaches to Subjectivity,
Sentiment and Social Media Analysis},
year = {2015},
pages = {51-57},
address = {Lisboa, Portugal},
month = {September},
publisher = {Association for Computational Linguistics},
owner = {rklinger},
pdf = {https://www.aclweb.org/anthology/W/W15/W15-2908.pdf},
timestamp = {2016.03.31},
url = {https://www.aclweb.org/anthology/W15-2908}
}
@inproceedings{Khlyzova2022,
title = "On the Complementarity of Images and Text for the Expression of Emotions in Social Media",
author = "Khlyzova, Anna and
Silberer, Carina and
Klinger, Roman",
booktitle = "Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment {&} Social Media Analysis",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.wassa-1.1",
pages = "1-15",
}
@article{Kicherer2018,
author = {Kicherer, Hanna and Dittrich, Marcel and Grebe,
Lukas and Scheible, Christian and Klinger, Roman},
title = {What You Use, Not What You Do: Automatic Classification and Similarity Detection of Recipes},
journal = {Data and Knowledge Engineering},
year = {2018},
note = {in print},
url = {https://doi.org/10.1016/j.datak.2018.04.004},
pdf = {https://www.romanklinger.de/publications/kicherer2018preprint.pdf}
}
@InProceedings{Kim2018,
author = "Kim, Evgeny
and Klinger, Roman",
title = "Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions",
booktitle = "Proceedings of the 27th International Conference on Computational Linguistics",
year = "2018",
publisher = "Association for Computational Linguistics",
pages = "1345-1359",
location = "Santa Fe, New Mexico, USA",
url = "https://www.aclweb.org/anthology/C18-1114",
pdf = "https://www.aclweb.org/anthology/C18-1114.pdf",
entrysubtype={conf},
}
@ARTICLE{Kim2019a,
author = {Evgeny Kim and Roman Klinger},
title = "{A Survey on Sentiment and Emotion Analysis for Computational Literary Studies}",
journal = {Zeitschrift für Digitale Geisteswissenschaften},
year = 2019,
url = {https://arxiv.org/abs/1808.03137},
entrysubtype={journal}
}
@InProceedings{Kim2019b,
title = "An Analysis of Emotion Communication Channels in Fan-Fiction: Towards Emotional Storytelling",
author = "Kim, Evgeny and Klinger, Roman",
booktitle = "Proceedings of the Second Workshop on Storytelling",
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/W19-3406",
pdf = {https://www.romanklinger.de/publications/KimKlingerStoryNLP2019ACL.pdf},
pages = "56-64",
entrysubtype={ws}
}
@InProceedings{Kim2019,
title = "Frowning {F}rodo, Wincing {L}eia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters",
author = "Kim, Evgeny and
Klinger, Roman",
booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
year = "2019",
address = "Minneapolis, Minnesota",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/N19-1067",
pages = "647-653",
pdf = {https://www.romanklinger.de/publications/KimKlingerNAACL2019.pdf},
entrysubtype={conf}
}
@InProceedings{kim17:_inves_relat_liter_genres_emotion_plot_devel,
author = {Evgeny Kim and Sebastian Padó and Roman Klinger},
title = {Investigating the Relationship between Literary Genres and Emotional Plot Development},
booktitle = {Proceedings of the ACL LaTeCH-CLfL workshop},
year = 2017,
address = {Vancouver, BC},
keywords = {workshop myown},
url = {https://www.aclweb.org/anthology/W17-2203.pdf},
abstract = {Literary genres are commonly viewed as being defined in terms of
content and stylistic features. In this paper, we focus on one
particular class of lexical features, namely emotion
information, and investigate the hypothesis that emotion-related
information correlates with particular genres. Using genre
classification as a testbed, we compare a model that computes
lexicon-based emotion scores globally for complete stories
with a model that tracks emotion arcs through stories on a
subset of Project Gutenberg with five genres.
Our main findings are: (a), the global emotion model is competitive
with a large-vocabulary bag-of-words genre classifier (80 (b), the emotion arc model shows a lower performance (59 shows complementary behavior to the global model, as indicated by
very good performance of an oracle ensemble (94 differ in the extent to which stories follow the same emotional
arcs, with particularly uniform behavior for anger (mystery) and
fear (adventures, romance, humor, science fiction).}}
@InProceedings{Kim2017,
author = {Evgeny Kim and Sebastian Padó and Roman Klinger},
title = {{Prototypical Emotion Developments in Literary Genres}},
booktitle = {Digital Humanities 2017: Conference Abstracts},
year = {2017},
optpages = {},
address = {Montréal, Canada},
month = {August},
organization = {McGill University and Université de Montréal},
url = {https://www.romanklinger.de/publications/kim2017.pdf},
pdf = {https://dh2017.adho.org/abstracts/203/203.pdf}
}
@InProceedings{klinger:2011:RANLP,
author = {Klinger, Roman},
title = {Automatically Selected Skip Edges in Conditional Random Fields for
Named Entity Recognition},
booktitle = {Proceedings of the International Conference Recent Advances in Natural
Language Processing 2011},
year = {2011},
pages = {580-585},
address = {Hissar, Bulgaria},
month = {September},
publisher = {RANLP 2011 Organising Committee},
owner = {rklinger},
timestamp = {2016.03.31},
url = {https://www.aclweb.org/anthology/R11-1082}
}
@book{Klinger2011b,
title = {Conditional Random Fields for Named Entity Recognition - Feature
Selection and Optimization in Biology and Chemistry},
publisher = {Shaker},
year = {2011},
author = {Roman Klinger},
series = {Fraunhofer Series in Information and Communication Technology},
address = {Aachen, Germany},
owner = {rklinger},
timestamp = {2016.03.31}
}
@PhdThesis{Klinger2020b,
author = {Roman Klinger},
title = {Structured Modelling of Affect in Text},
school = {University of Stuttgart},
year = 2020,
type = {Cumulative Habilitation},
url = {http://dx.doi.org/10.18419/opus-10994},
}
@InProceedings{Klinger2013b,
author = {Klinger, Roman and Cimiano, Philipp},
title = {Bi-directional Inter-dependencies of Subjective Expressions and Targets
and their Value for a Joint Model},
booktitle = {Proceedings of the 51st Annual Meeting of the Association for Computational
Linguistics (Volume 2: Short Papers)},
year = {2013},
pages = {848-854},
address = {Sofia, Bulgaria},
month = {August},
publisher = {Association for Computational Linguistics},
owner = {rklinger},
timestamp = {2016.03.31},
url = {https://www.aclweb.org/anthology/P13-2147}
}
@InProceedings{Klinger2013,
author = {Klinger, Roman and Cimiano, Philipp},
title = {Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment
Analysis: Extracting Aspects, Subjective Phrases and their Relations},
booktitle = {2013 IEEE 13th International Conference on Data Mining Workshops
(ICDMW)},
year = {2013},
pages = {937-944},
month = {Dec},
doi = {10.1109/ICDMW.2013.13},
keywords = {data mining;graph theory;inference mechanisms;pattern classification;probability;text
analysis;IDF;fine-grained sentiment analysis;flexible model;imperatively
defined factor graphs;joint inference model;opinion mining;pipeline
architecture;pipeline probabilistic models;relation extraction;subjective
phrase detection;text classification entity recognition problem;Cameras;Joints;Pipelines;Predictive
models;Probabilistic logic;Proposals;Training;factorie;fine-grained
sentiment analysis;imperatively defined factor graphs;information
extraction;machine learning;probabilistic graphical models},
pdf = {https://www.romanklinger.de/publications/joint-aspect-subjectivity-with-reference.pdf}
}
@InProceedings{Klinger2014,
author = {Roman Klinger and Philipp Cimiano},
title = {The {USAGE} review corpus for fine grained multi lingual opinion
analysis},
booktitle = {Proceedings of the Ninth International Conference on Language Resources
and Evaluation (LREC'14)},
year = {2014},
editor = {Nicoletta Calzolari and Khalid Choukri and Thierry Declerck and Hrafn
Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno
and Jan Odijk and Stelios Piperidis},
pages = {2211-2218},
address = {Reykjavik, Iceland},
month = {May},
publisher = {European Language Resources Association (ELRA)},
note = {ACL Anthology Identifier: L14-1656},
date = {26-31},
isbn = {978-2-9517408-8-4},
language = {english},
owner = {rklinger},
timestamp = {2016.03.31},
url = {http://www.lrec-conf.org/proceedings/lrec2014/pdf/85_Paper.pdf}
}
@InProceedings{klinger2015,
author = {Klinger, Roman and Cimiano, Philipp},
title = {Instance Selection Improves Cross-Lingual Model Training for Fine-Grained
Sentiment Analysis},
booktitle = {Proceedings of the Nineteenth Conference on Computational Natural
Language Learning},
year = {2015},
pages = {153-163},
address = {Beijing, China},
month = {July},
publisher = {Association for Computational Linguistics},
pdf = {https://www.aclweb.org/anthology/K/K15/K15-1016.pdf},
url = {https://www.aclweb.org/anthology/K15-1016}
}
@InProceedings{Klinger2018x,
title = "{IEST}: {WASSA}-2018 Implicit Emotions Shared Task",
author = "Klinger, Roman and
De Clercq, Orph{é}e and
Mohammad, Saif and
Balahur, Alexandra",
booktitle = "Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/W18-6206",
pages = "31-42",
abstract = "Past shared tasks on emotions use data with both overt expressions of emotions (I am so happy to see you!) as well as subtle expressions where the emotions have to be inferred, for instance from event descriptions. Further, most datasets do not focus on the cause or the stimulus of the emotion. Here, for the first time, we propose a shared task where systems have to predict the emotions in a large automatically labeled dataset of tweets without access to words denoting emotions. Based on this intention, we call this the Implicit Emotion Shared Task (IEST) because the systems have to infer the emotion mostly from the context. Every tweet has an occurrence of an explicit emotion word that is masked. The tweets are collected in a manner such that they are likely to include a description of the cause of the emotion {--} the stimulus. Altogether, 30 teams submitted results which range from macro F1 scores of 21 { entrysubtype={ws}
}
@InProceedings{Klinger2009a,
author = {Roman Klinger and Christoph M. Friedrich},
title = {Feature Subset Selection in Conditional Random Fields for Named Entity
Recognition},
booktitle = {Proceedings of Recent Advances in Natural Language Processing (RANLP)},
year = {2009},
editor = {Galia Angelova and Kalina Bontcheva and Ruslan Mitkov and Nicolas
Nicolov and Nicolai Nikolov},
pages = {185-191},
address = {Borovets, Bulgaria},
month = {September},
owner = {rklinger},
pdf = {https://www.aclweb.org/anthology-new/R/R09/R09-1035.pdf},
timestamp = {2016.03.31}
}
@InProceedings{Klinger2009,
author = {Roman Klinger and Christoph M. Friedrich},
title = {User's Choice of Precision and Recall in Named Entity Recognition},
booktitle = {Proceedings of Recent Advances in Natural Language Processing (RANLP)},
year = {2009},
editor = {Galia Angelova and Kalina Bontcheva and Ruslan Mitkov and Nicolas
Nicolov and Nicolai Nikolov},
pages = {192-196},
address = {Borovets, Bulgaria},
month = {September},
owner = {rklinger},
pdf = {https://www.aclweb.org/anthology-new/R/R09/R09-1036.pdf},
timestamp = {2009.06.04}
}
@InProceedings{Klinger2007a,
author = {Roman Klinger and Christoph M. Friedrich and Juliane Fluck and Martin
Hofmann-Apitius},
title = {{Named Entity Recognition with Combinations of Conditional Random
Fields}},
booktitle = {Proceedings of the Second BioCreative Challenge Evaluation Workshop},
year = {2007},
pages = {89-91},
address = {Madrid, Spain},
month = {April},
owner = {rklinger},
pdf = {https://www.romanklinger.de/publications/bc2.pdf},
timestamp = {2016.03.31}
}
@article{Klinger2007b,
author = {Roman Klinger and Laura I. Furlong and Christoph M. Friedrich and
Heinz Theodor Mevissen and Juliane Fluck and Ferran Sanz and Martin
Hofmann-Apitius},
title = {Identifying Gene Specific Variations in Biomedical Text},
journal = {Journal of Bioinformatics and Computational Biology},
year = {2007},
volume = {5},
pages = {1277-1296},
number = {6},
month = {December},
note = {PMID 18172929},
doi = {10.1142/S0219720007003156},
owner = {rklinger},
pdf = {https://www.romanklinger.de/publications/snp_preprint.pdf},
timestamp = {2016.03.31}
}
@incollection{Klinger2020,
author = "Roman Klinger and Evgeny Kim and Sebastian Padó",
title = "Emotion Analysis for Literary Studies",
booktitle = "Reflektierte algorithmische Textanalyse",
year = "2020",
publisher = "De Gruyter",
address = "Berlin, Boston",
doi = "https://doi.org/10.1515/9783110693973-011",
pages= "237 - 268",
url = "https://www.degruyter.com/view/book/9783110693973/10.1515/9783110693973-011.xml"
}
@article{Klinger2008,
author = {Roman Klinger and Corinna {Kol{á}{ v r}ik} and Juliane Fluck and
Martin Hofmann-Apitius and Christoph M. Friedrich},
title = {{Detection of IUPAC and IUPAC-like Chemical Names}},
journal = {Bioinformatics},
year = {2008},
volume = {24},
pages = {i268-i276},
number = {13},
note = {Proceedings of the International Conference Intelligent Systems for
Molecular Biology (ISMB).},
doi = {10.1093/bioinformatics/btn181},
owner = {rklinger},
timestamp = {2008.03.21}
}
@InProceedings{Klinger2011,
author = {Roman Klinger and Sebastian Riedel and Andrew McCallum},
title = {Inter-Event Dependencies support Event Extraction from Biomedical
Literature},
booktitle = {Mining Complex Entities from Network and Biomedical Data (MIND),
European Conference on Machine Learning and Principles and Practice
of Knowledge Discovery in Databases (ECML PKDD)},
year = {2011},
owner = {rklinger},
pdf = {https://www.romanklinger.de/publications/klinger11interevent.pdf},
timestamp = {2016.03.31}
}
@InProceedings{Klinger2012,
author = {Klinger, Roman and Senger, Philipp and Madan, Sumit and Jacovi, Michal},
title = {Online Communities Support Policy-Making: The Need for Data Analysis},
booktitle = {Electronic Participation},
year = {2012},
editor = {Tambouris, Efthimios and Macintosh, Ann and Sæbø, Ãystein},
volume = {7444},
series = {Lecture Notes in Computer Science},
pages = {132-143},
publisher = {Springer Berlin Heidelberg},
doi = {10.1007/978-3-642-33250-0_12},
isbn = {978-3-642-33249-4},
url = {https://dx.doi.org/10.1007/978-3-642-33250-0_12}
}
@InProceedings{Klinger2016,
author = {Roman Klinger and Surayya Samat Suliya and Nils Reiter},
title = {{Automatic Emotion Detection for Quantitative Literary Studies --
A case study based on Franz Kafka's ``Das Schloss'' und ``Amerika''}},
booktitle = {Digital Humanities (DH)},
year = {2016},
address = {Kraków, Poland},
pdf = {https://www.romanklinger.de/publications/klinger-samat-reiter2016.pdf}
}
@techreport{KlingerTomanek2007,
author = {Roman Klinger and Katrin Tomanek},
title = {{Classical Probabilistic Models and Conditional Random Fields}},
institution = {Department of Computer Science, Dortmund University of Technology},
year = {2007},
number = {TR07-2-013},
month = {December},
note = {ISSN 1864-4503},
owner = {rklinger},
timestamp = {2008.03.27},
url = {http://www.scai.fraunhofer.de/fileadmin/images/bio/data_mining/paper/crf_klinger_tomanek.pdf}
}
@InProceedings{Kolarik2008,
author = {Corinna {Kol{á}{ v r}ik} and Roman Klinger and Christoph M. Friedrich
and Martin Hofmann-Apitius and Juliane Fluck},
title = {{Chemical Names: Terminological Resources and Corpora Annotation}},
booktitle = {{Workshop on Building and evaluating resources for biomedical text
mining (6th edition of the Language Resources and Evaluation Conference)}},
year = {2008},
pages = {51-58},
address = {Marrakech, Morocco},
month = {May},
owner = {rklinger},
pdf = {https://www.romanklinger.de/publications/kolarik2008.pdf},
timestamp = {2016.03.31}
}
@article{Kolarik2009,
author = {Corinna {Kol{á}{ v r}ik} and Roman Klinger and Martin Hofmann-Apitius},
title = {{Identification of Histone Modifications in Biomedical Text for Supporting
Epigenomic Research}},
journal = {BMC Bioinformatics},
year = {2009},
volume = {10},
number = {S28},
month = {January},
note = {Proceedings of the Asia Pacific Bioinformatics Conference (APBC)},
doi = {10.1186/1471-2105-10-S1-S28},
owner = {rklinger},
publisher = {BioMed Central},
timestamp = {2016.03.31}
}
@InProceedings{Koeper2017,
author = {Maximilian Köper and Evgeny Kim and Roman Klinger},
title = {{IMS} at {EmoInt-2017}: Emotion Intensity Prediction
with Affective Norms, Automatically Extended
Resources and Deep Learning},
booktitle = {Proceedings of the 8th Workshop on Computational
Approaches to Subjectivity, Sentiment and Social
Media Analysis},
year = {2017},
address = {Copenhagen, Denmark},
organization = {Workshop at Conference on Empirical Methods in Natural Language Processing},
publisher = {Association for Computational Linguistics},
pdf = {https://www.aclweb.org/anthology/W/W17/W17-5206.pdf},
url = {https://www.ims.uni-stuttgart.de/data/ims_emoint}
}
@inproceedings{Kreuter2022,
title = "Items from Psychometric Tests as Training Data for Personality Profiling Models of {T}witter Users",
author = "Kreuter, Anne and
Sassenberg, Kai and
Klinger, Roman",
booktitle = "Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment {&} Social Media Analysis",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.wassa-1.35",
pages = "315-323",
}
@InProceedings{Ling2016,
author = {Ling, Jennifer and Klinger, Roman},
editor = {Sack, Harald and Rizzo, Giuseppe and Steinmetz,
Nadine and Mladeni{{c}}, Dunja and Auer, S{ö}ren
and Lange, Christoph},
title = {An Empirical, Quantitative Analysis of the
Differences Between Sarcasm and Irony},
booktitle = {The Semantic Web: ESWC 2016 Satellite Events,
Heraklion, Crete, Greece, May 29 -- June 2, 2016,
Revised Selected Papers},
year = {2016},
publisher = {Springer International Publishing},
pages = {203-216},
isbn = {978-3-319-47602-5},
doi = {10.1007/978-3-319-47602-5_39},
url = {https://dx.doi.org/10.1007/978-3-319-47602-5_39},
}
@InProceedings{McCrae2013,
author = {McCrae, John Philip and Cimiano, Philipp and Klinger, Roman},
title = {Orthonormal Explicit Topic Analysis for Cross-Lingual Document Matching},
booktitle = {Proceedings of the 2013 Conference on Empirical Methods in Natural
Language Processing},
year = {2013},
pages = {1732-1740},
address = {Seattle, Washington, USA},
month = {October},
publisher = {Association for Computational Linguistics},
owner = {rklinger},
timestamp = {2016.03.31},
url = {https://www.aclweb.org/anthology/D13-1179}
}
@InProceedings{McHardy2019,
title = "Adversarial Training for Satire Detection: Controlling for Confounding Variables",
author = "McHardy, Robert and
Adel, Heike and
Klinger, Roman",
booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
year = "2019",
address = "Minneapolis, Minnesota",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/N19-1069",
pages = "660-665",
entrysubtype={conf}
}
@InProceedings{mohr-whrl-klinger:2022:LREC,
author = {Mohr, Isabelle and Wührl, Amelie and Klinger, Roman},
title = {CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets},
booktitle = {Proceedings of the Language Resources and Evaluation Conference},
month = {June},
year = {2022},
address = {Marseille, France},
publisher = {European Language Resources Association},
pages = {244-257},
url = {https://aclanthology.org/2022.lrec-1.26},
pdf = {http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.26.pdf}
}
@InProceedings{Mueller2010,
author = {Bernd Müller and Roman Klinger and Harsha Gurulingappa and Heinz-Theodor
Mevissen and Martin Hofmann-Apitius and Juliane Fluck and Christoph
M. Friedrich},
title = {Abstracts versus Full Texts and Patents: A Quantitative Analysis
of Biomedical Entities},
booktitle = {Proceedings of the 1st IRF Conference},
year = {2010},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
owner = {rklinger},
timestamp = {2016.03.31},
url = {http://link.springer.com/chapter/10.1007/978-3-642-13084-7_12}
}
@inproceedings{Oberlaender2020b,
title = "Experiencers, Stimuli, or Targets: Which Semantic
Roles Enable Machine Learning to Infer the
Emotions?",
author = {Laura Oberländer and Kevin Reich and Roman
Klinger},
booktitle = "Proceedings of the Third Workshop on Computational
Modeling of People{'}s Opinions, Personality, and
Emotions in Social Media",
month = dec,
year = "2020",
address = "Barcelona, Spain",
publisher = "Association for Computational Linguistics",
pdf =
{http://www.romanklinger.de/publications/OberlaenderReichKlinger2020peoples.pdf},
url = {https://www.aclanthology.org/2020.peoples-1.12/},
}
@inproceedings{Oberlaender2020,
title = "Token Sequence Labeling vs. Clause Classification
for {E}nglish Emotion Stimulus Detection",
author = {Oberl{ä}nder, Laura Ana Maria and Klinger, Roman},
booktitle = "Proceedings of the Ninth Joint Conference on Lexical
and Computational Semantics",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "Association for Computational Linguistics",
url = "https://www.aclanthology.org/2020.starsem-1.7",
pages = "58-70",
}
@InProceedings{Paassen2014,
author = {Paassen, Benjamin and St{o}ckel, Andreas and Dickfelder, Raphael
and G{o}pfert, Jan Philip and Brazda, Nicole and Kirchhoffer, Tarek
and M{u}ller, Hans Werner and Klinger, Roman and Hartung, Matthias
and Cimiano, Philipp},
title = {Ontology-based Extraction of Structured Information from Publications
on Preclinical Experiments for Spinal Cord Injury Treatments},
booktitle = {Proceedings of the Third Workshop on Semantic Web and Information
Extraction},
year = {2014},
pages = {25-32},
address = {Dublin, Ireland},
month = {August},
publisher = {Association for Computational Linguistics and Dublin City University},
url = {https://www.aclweb.org/anthology/W14-6204}
}
@proceedings{onion-2020-lrec2020,
title = "Proceedings of LREC2020 Workshop ``People in language, vision and the mind'' (ONION2020)",
editor = "Paggio, Patrizia and
Gatt, Albert and
Klinger, Roman",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association (ELRA)",
url = "https://www.aclweb.org/anthology/2020.onion-1.0",
ISBN = "979-10-95546-70-2",
}
@INPROCEEDINGS{Papay2020,
author = {Sean Papay and Roman Klinger and Sebastian Padó},
title = {Dissecting Span Identification Tasks with Performance Prediction},
booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing},
year = {2020},
publisher = {Association for Computational Linguistics},
}
@inproceedings{Papay2022,
title={Constraining Linear-chain {CRF}s to Regular Languages},
author={Sean Papay and Roman Klinger and Sebastian Pad{ó}},
booktitle={International Conference on Learning Representations},
year={2022},
url={https://openreview.net/forum?id=jbrgwbv8nD},
url = {https://arxiv.org/abs/2106.07306},
}
@InProceedings{Plazadelarco2021,
author = {Flor M. {Plaza-del-Arco} and Sercan Halat and
Sebastian Pad{ó} and Roman Klinger},
title = {Multi-Task Learning with Sentiment, Emotion, and
Target Detection to Recognize Hate Speech and
Offensive Language},
url = {http://ceur-ws.org/Vol-3159/T1-30.pdf},
year = 2021,
pages = {297-318},
booktitle = {FIRE 2021 Working Notes},
}
@inproceedings{Plazadelarco2022,
title = "Natural Language Inference Prompts for Zero-shot
Emotion Classification in Text across Corpora",
author = "Plaza-del-Arco, Flor Miriam and
Mart{í}n-Valdivia, Mar{í}a-Teresa and Klinger,
Roman",
booktitle = "Proceedings of the 29th International Conference on
Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational
Linguistics",
url = "https://aclanthology.org/2022.coling-1.592",
pdf =
{https://www.romanklinger.de/publications/PlazaDelArcoMartinValdiviaKlinger.pdf},
url = {https://arxiv.org/abs/2209.06701},
pages = "6805-6817",
}
@InProceedings{ Reiter2017ab,
Title = {{Teaching Computational Aspects in the Digital Humanities Program at University of Stuttgart -- Intentions and Experiences}},
Address = { Berlin, Germany },
Author = { Nils Reiter and Sarah Schulz and Gerhard Kremer and Roman Klinger and Gabriel Viehhauser and Jonas Kuhn },
Booktitle = { Proceedings of the Workshop on Teaching NLP for Digital Humanities (Teach4DH 2017) co-located with GSCL 2017 },
Pages = { 43-48 },
Month = { September },
Year = { 2017 },
Url = {http://ceur-ws.org/Vol-1918/reiter.pdf},
Pdf = {http://ceur-ws.org/Vol-1918/reiter.pdf}
}
@InProceedings{Risselada2009,
author = {Roelof Risselada and Christoph M. Friedrich and Christian Ebeling
and Roman Klinger and Anne Bauer-Mehren and Manuel Pastor and Maria
Cruz Villa and Jose M. Pozo and Alejandro F. Frangi and Martin Hofmann-Apitius},
title = {Workflows for Data Mining in Integrated multi-modal Data of Intracranial
Aneurysms using KNIME},
booktitle = {Book of Abstracts of the R User Conference (useR!)},
year = {2009},
pages = {165},
address = {Rennes, France},
owner = {rklinger},
pdf = {https://www.romanklinger.de/publications/Risselada_Friedrich_Ebeling_Klinger2009.pdf},
timestamp = {2016.03.31}
}
@InProceedings{Ruppenhofer2014,
author = {Josef Ruppenhofer and Roman Klinger and Julia Maria Struà and Jonathan
Sonntag and Michael Wiegand},
title = {IGGSA Shared Tasks on German Sentiment Analysis},
booktitle = {Workshop Proceedings of the 12th Edition of the KONVENS Conference},
year = {2014},
editor = {Gertrud Faaà and Josef Ruppenhofer},
address = {Hildesheim, Germany},
month = {October},
publisher = {University of Hildesheim},
url = {http://opus.bsz-bw.de/ubhi/volltexte/2014/319/pdf/04_01.pdf}
}
@InProceedings{Sabbatino2020,
title = "Automatic Section Recognition in Obituaries",
author = "Sabbatino, Valentino and
Bostan, Laura Ana Maria and
Klinger, Roman",
booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://www.aclweb.org/anthology/2020.lrec-1.102",
pages = "817-825",
abstract = "Obituaries contain information about people{'}s values across times and cultures, which makes them a useful resource for exploring cultural history. They are typically structured similarly, with sections corresponding to Personal Information, Biographical Sketch, Characteristics, Family, Gratitude, Tribute, Funeral Information and Other aspects of the person. To make this information available for further studies, we propose a statistical model which recognizes these sections. To achieve that, we collect a corpus of 20058 English obituaries from TheDaily Item, Remembering.CA and The London Free Press. The evaluation of our annotation guidelines with three annotators on 1008 obituaries shows a substantial agreement of Fleiss ú = 0.87. Formulated as an automatic segmentation task, a convolutional neural network outperforms bag-of-words and embedding-based BiLSTMs and BiLSTM-CRFs with a micro F1 = 0.81.",
language = "English",
ISBN = "979-10-95546-34-4",
pdf = {https://www.romanklinger.de/publications/valentino2020.pdf},
}
@inproceedings{Sabbatino2022,
title = "{``}splink{''} is happy and {``}phrouth{''} is scary: Emotion Intensity Analysis for Nonsense Words",
author = "Sabbatino, Valentino and
Troiano, Enrica and
Schweitzer, Antje and
Klinger, Roman",
booktitle = "Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment {&} Social Media Analysis",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.wassa-1.4",
pages = "37-50",
}
@InProceedings{Saenger2016,
author = {Mario Sänger and Ulf Leser and Steffen Kemmerer and Peter Adolphs
and Roman Klinger},
title = {{SCARE -- The Sentiment Corpus of App Reviews with Fine-grained Annotations in German}},
booktitle = {Proceedings of the Tenth International Conference on Language Resources
and Evaluation (LREC'2016)},
year = {2016},
editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry
Declerck and Marko Grobelnik and Bente Maegaard and Joseph Mariani
and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
address = {Paris, France},
month = {may},
publisher = {European Language Resources Association (ELRA)},
date = {23-28},
isbn = {978-2-9517408-9-1},
language = {english},
location = {Portoro v {z}, Slovenia},
url = {http://www.lrec-conf.org/proceedings/lrec2016/summaries/59.html},
pdf = {https://www.romanklinger.de/publications/saenger2016.pdf}
}
@InProceedings{scheible16:_model_archit_quotat_detec,
abstract = {Quotation detection is the task of locating spans of quoted speech in text. The state of the art treats this problem as a sequence labeling task and employs linear-chain conditional random fields. We question the efficacy of this choice: The Markov assumption in the model prohibits it from making joint decisions about the begin, end, and internal context of a quotation. We perform an extensive analysis with two new model architectures. We find that (a), simple boundary classification combined with a greedy prediction strategy is competitive with the state of the art; (b), a semi-Markov model significantly outperforms all others, by relaxing the Markov assumption.},
address = {Berlin, Germany},
author = {Scheible, Christian and Klinger, Roman and Pad{o}, Sebastian},
booktitle = {Proceedings of ACL},
interhash = {c77dfb02001fe26838c9936221ace71a},
intrahash = {fbeab4234e533692e6d7e938fccff533},
note = {Acceptance rate: 25 pages = {1736-1745},
title = {Model Architectures for Quotation Detection},
url = {https://www.aclweb.org/anthology/P/P16/P16-1164.pdf},
year = 2016
}
@InProceedings{schuff17:_annot_model_and_analy_of,
author = {Hendrik Schuff and Jeremy Barnes and Julian Mohme and Sebastian Padó and Roman Klinger},
title = {Annotation, Modelling and Analysis of Fine-Grained
Emotions on a Stance and Sentiment Detection Corpus},
booktitle = {Proceedings of the EMNLP WASSA workshop},
keywords = {workshop myown},
year = 2017,
pages = {13-23},
abstract = {There is a rich variety of data sets for sentiment analysis
(viz., polarity and subjectivity classification). For the more
challenging task of detecting discrete emotions following the
definitions of Ekman and Plutchik, however, there are much fewer
data sets, and notably no resources for the social media
domain. This paper contributes to closing this gap by extending the
textit {SemEval 2016 stance and sentiment dataset} with emotion
annotation. We (a) analyse annotation reliability and annotation
merging; (b) investigate the relation between emotion annotation and
the other annotation layers (stance, sentiment); (c) report
modelling results as a baseline for future work.},
url = {https://www.aclweb.org/anthology/W17-5203.pdf},
address = {Copenhagen, Denmark}}
@article{Larry2008,
author = {Larry Smith and Lorraine K. Tanabe and Rie Johnson nee Ando and Cheng-Ju
Juo and I-Fang Chung and Chun-Nan Hsu and Yu-Shi Lin and Roman Klinger
and Christoph M. Friedrich and Kuzman Ganchev and Manabu Torii and
Hongfang Liu and Barry Haddow and Craig A. Struble and Richard J.
Povinelli and Andreas Vlachos and William A. {Baumgartner Jr.} and
Lawrence Hunter and Bob Carpenter and Richard Tzong-Han Tsai and
Hong-jie Dai and Feng Liu and Yifei Chen and Chengjie Sun and Sophia
Katrenko and Pieter Adriaans and Christian Blaschke and Rafel Torres
Perez and Mariana Neves and Preslav Nakov and Anna Divoli and Manuel
Mana and Jacinto Mata-Vazquez and W. John Wilbur},
title = {Overview of BioCreative II Gene Mention Recognition},
journal = {Genome Biology},
year = {2008},
volume = {9},
pages = {S2.2-S2.18},
number = {Suppl 2},
month = {September},
doi = {10.1186/gb-2008-9-s2-s2},
issn = {1465-6906},
owner = {rklinger},
timestamp = {2016.03.31},
url = {http://genomebiology.com/2008/9/S2/S2}
}
@article{Stockel2015,
author = {Andreas Stöckel and Benjamin Paassen and Raphael Dickfelder and
Jan Philipp Göpfert and Nicole Brazda and Hans Werner Müller
and Philipp Cimiano and Matthias Hartung and Roman Klinger},
title = {SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments
â A Webservice and Open Source Toolkit},
journal = {bioRxiv},
year = {2015},
month = {January},
doi = {10.1101/013458},
publisher = {Cold Spring Harbor Laboratory Press}
}
@InProceedings{Strohm2018,
author = {Florian Strohm and Roman Klinger},
title = {An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs},
booktitle = {The 5th IEEE International Conference on Data Science and Advanced Analytics, Special Track on Sentiment, Emotion, and Credibility of Information in Social Data},
OPTpages = {},
year = {2018},
series = {DSAA},
address = {Turin, Italy},
organization = {IEEE},
doi = {10.1109/DSAA.2018.00087},
entrysubtype={conf},
}
@Article{terHorst2019,
author = {Hendrik ter Horst and Matthias Hartung and Philipp Cimiano and Nicole Brazda and Hans Werner Müller and Roman Klinger},
title = {Learning Soft Domain Constraints in a Factor Graph Model for Template-based Information Extraction},
journal = {Data & Knowledge Engineering},
year = {2019},
volume = {125},
pages = {101764},
doi = {10.1016/j.datak.2019.101764}
}
@InProceedings{Terhorst2018,
author = {Ter Horst, Hendrik and Matthias Hartung and Roman
Klinger and Nicole Brazda and Hans Werner M{ü}ller and
Philipp Cimiano},
title = {Assessing the Impact of Single and Pairwise Slot
Constraints in a Factor Graph Model for
Template-based Information Extraction},
booktitle = {Natural Language Processing and Information Systems:
23rd International Conference on Applications of
Natural Language to Information Systems, NLDB 2018,
Paris, France, June 13-15, 2018, Proceedings},
year = {2018},
publisher = {Springer International Publishing},
address = {Cham},
url = {https://pub.uni-bielefeld.de/publication/2918981},
pdf = {https://www.romanklinger.de/publications/terhorst2018.pdf},
note = { ###bp###}
}
@InProceedings{Thomas2012,
author = {Philippe Thomas and Tamara BobiÄ and Ulf Leser and Martin Hofmann-Apitius
and Roman Klinger},
title = {Weakly Labeled Corpora as Silver Standard for Drug-Drug and Protein-Protein
Interaction},
booktitle = {Proceedings of the Workshop on Building and Evaluating Resources
for Biomedical Text Mining (BioTxtM) on Language Resources and Evaluation
Conference (LREC)},
year = {2012},
address = {Istanbul, Turkey},
pdf = {https://www.romanklinger.de/publications/ppi-ddi.pdf}
}
@InProceedings{Thomas2011a,
author = {Thomas, Philippe and Solt, Ill{e}s and Klinger, Roman and Leser,
Ulf},
title = {Learning Protein Protein Interaction Extraction using Distant Supervision},
booktitle = {Proceedings of Workshop on Robust Unsupervised and Semisupervised
Methods in Natural Language Processing},
year = {2011},
pages = {25-32},
address = {Hissar, Bulgaria},
month = {September},
owner = {rklinger},
pdf = {https://www.aclweb.org/anthology/W/W11/W11-3904.pdf},
timestamp = {2016.03.31},
url = {https://www.aclweb.org/anthology/W11-3904}
}
@article{Thomas2011,
author = {Philippe E. Thomas and Roman Klinger and Laura I. Furlong and Martin
Hofmann-Apitius and Christoph M. Friedrich},
title = {Challenges in the association of human single nucleotide polymorphism
mentions with unique database identifiers},
journal = {BMC Bioinformatics},
year = {2011},
volume = {12(Suppl 4)},
number = {S4},
doi = {10.1186/1471-2105-12-S4-S4},
owner = {rklinger},
timestamp = {2016.03.31}
}
@InProceedings{Thorne2017,
author = {Camilo Thorne and Roman Klinger},
title = {Towards Confidence Estimation for Typed Protein-Protein Relation Extraction},
booktitle = {Proceedings of the Biomedical NLP Workshop associated with RANLP},
year = {2017},
address = {Varna, Bulgaria},
month = {September},
publisher = {Association for Computational Linguistics},
pdf = {https://www.romanklinger.de/publications/Thorne2017.pdf}
}
@InProceedings{Thorne2018,
author = {Camilo Thorne and Roman Klinger},
title = {On the Semantic Similarity of Disease Mentions in MEDLINE and Twitter},
booktitle = {Natural Language Processing and Information Systems:
23rd International Conference on Applications of
Natural Language to Information Systems, NLDB 2018,
Paris, France, June 13-15, 2018, Proceedings},
year = {2018},
publisher = {Springer International Publishing},
address = {Cham},
pdf = {https://www.romanklinger.de/publications/thorne2018.pdf}
}
@inproceedings{Troiano2020,
title = "Lost in Back-Translation: Emotion Preservation in
Neural Machine Translation",
author = "Troiano, Enrica and Klinger, Roman and Pad{ó},
Sebastian",
booktitle = "Proceedings of the 28th International Conference on
Computational Linguistics",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational
Linguistics",
url = "https://www.aclanthology.org/2020.coling-main.384",
doi = "10.18653/v1/2020.coling-main.384",
pages = "4340-4354",
}
@InProceedings{troiano20:_lost_back_trans,
abstract = {Machine translation provides powerful methods to convert text between languages, and is therefore a technology enabling a multilingual world. An important part of communication, however, takes place at the non-propositional level (e.g., politeness, formality, emotions), and it is far from clear whether current MT methods properly translate this information. This paper investigates the specific hypothesis that the non-propositional level of emotions is at least partially lost in MT. We carry out a number of experiments in a back-translation setup and establish that (1) emotions are indeed partially lost during translation; (2) this tendency can be reversed almost completely with a simple re-ranking approach informed by an emotion classifier, taking advantage of diversity in the n-best list; (3) the re-ranking approach can also be applied to change emotions, obtaining a model for emotion style transfer. An in-depth qualitative analysis reveals that there are recurring linguistic changes through which emotions are toned down or amplified, such as change of modality.},
added-at = {2020-09-30T20:30:13.000+0200},
address = {Online},
author = {Troiano, Enrica and Klinger, Roman and Padó, Sebastian},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/22499813b5bc2b1640c364ca880e35c2a/sp},
booktitle = {Proceedings of COLING},
interhash = {440a181985303a1b360b4d383c68e792},
intrahash = {2499813b5bc2b1640c364ca880e35c2a},
keywords = {conference myown},
timestamp = {2020-12-07T16:40:50.000+0100},
title = {Lost in Backtranslation: Emotion Preservation in Neural Machine Translation},
url = {https://www.aclweb.org/anthology/2020.coling-main.384/},
year = 2020
}
@article{troiano22:_relat_predic_argum_struc_emotion_text,
abstract = {Emotions, which are responses to salient events, can be realized in text implicitly, for instance with mere references to facts (e.g., âThat was the beginning of a long warâ). Interpreting affective meanings thus relies on the readersâ background knowledge, but that is hardly modeled in computational emotion analysis. Much work in the field is focused on the word level and treats individual lexical units as the fundamental emotion cues in written communication. We shift our attention to word relations. We leverage Frame Semantics, a prominent theory for the description of predicate-argument structures, which matches the study of emotions: frames build on a âsemantics of understandingâ whose assumptions rely precisely on peopleâs world knowledge. Our overarching question is whether and to what extent the events that are represented by frames possess an emotion meaning. To carry out a large corpus-based correspondence analysis, we automatically annotate texts with emotions as well as with FrameNet frames and roles, and we analyze the correlations between them. Our main finding is that substantial groups of frames have an emotional import. With an extensive qualitative analysis, we show that they capture several properties of emotions that are purported by theories from psychology. These observations boost insights on the two strands of research that we bring together: emotion analysis can profit from the event-based perspective of frame semantics; in return, frame semantics gains a better grip of its position vis-a-vis emotions, an integral part of word meanings.},
added-at = {2023-08-14T13:14:25.000+0200},
author = {Troiano, Enrica and Klinger, Roman and Pad{ó}, Sebastian},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2a95eb77642d869e237535205ea710115/sp},
interhash = {a4fcafe99c771852f92d63a1bb813ba1},
intrahash = {a95eb77642d869e237535205ea710115},
journal = {Northern European Journal of Language Technology},
keywords = {article myown},
number = 1,
timestamp = {2023-09-15T16:25:24.000+0200},
title = {On the Relationship between Frames and Emotionality in Text},
url = {https://doi.org/10.3384/nejlt.2000-1533.2023.4361},
volume = 9,
year = 2023
}
@InProceedings{troiano-EtAl:2022:LREC,
author = {Troiano, Enrica and Oberlaender, Laura Ana Maria and Wegge, Maximilian and Klinger, Roman},
title = {x-enVENT: A Corpus of Event Descriptions with Experiencer-specific Emotion and Appraisal Annotations},
booktitle = {Proceedings of the Language Resources and Evaluation Conference},
month = {June},
year = {2022},
address = {Marseille, France},
publisher = {European Language Resources Association},
pages = {1365-1375},
url = {https://aclanthology.org/2022.lrec-1.146},
pdf = {http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.146.pdf},
}
@article{Troiano2023,
author = {Enrica Troiano and Laura Oberländer and Roman
Klinger},
title = {Dimensional Modeling of Emotions in Text with
Appraisal Theories: Corpus Creation, Annotation
Reliability, and Prediction},
journal = "Computational Linguistics",
number = 1,
volume = 49,
month = mar,
year = 2023,
address = "Cambridge, MA",
publisher = "MIT Press",
doi = {10.1162/coli_a_00461},
url = {https://doi.org/10.1162/coli_a_00461},
}
@InProceedings{Troiano2019,
title = "Crowdsourcing and Validating Event-focused Emotion Corpora for {G}erman and {E}nglish",
author = "Troiano, Enrica and
Pad{ó}, Sebastian and
Klinger, Roman",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/P19-1391",
pdf = {https://www.romanklinger.de/publications/TroianoPadoKlingerNAACL2019.pdf},
pages = "4005-4011",
entrysubtype={conf}
}
@inproceedings{Troiano2021,
title = "Emotion Ratings: How Intensity, Annotation
Confidence and Agreements are Entangled",
author = "Troiano, Enrica and Pad{ó}, Sebastian and Klinger,
Roman",
booktitle = "Proceedings of the Eleventh Workshop on
Computational Approaches to Subjectivity, Sentiment
and Social Media Analysis",
month = apr,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclanthology.org/2021.wassa-1.5",
pages = "40-49",
}
@InProceedings{troiano21:_entan_annot_confid_emotion_inten,
added-at = {2021-02-19T16:56:48.000+0100},
author = {Troiano, Enrica and Padó, Sebastian and Klinger, Roman},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2f3ce79d1f08905eedef2e329c84860cf/sp},
booktitle = {Proceedings of the EACL WASSA workshop},
interhash = {e73d543dfb468d4838ec84529dde3831},
intrahash = {f3ce79d1f08905eedef2e329c84860cf},
keywords = {myown workshop},
pages = {50-61},
timestamp = {2021-04-21T15:33:12.000+0200},
title = {Emotion Ratings: How Intensity, Annotation Conï¬dence and Agreements are Entangled},
url = {https://www.aclweb.org/anthology/2021.wassa-1.5},
year = 2021
}
@article{troiano2022theories,
title = {From theories on styles to their transfer in text:
Bridging the gap with a hierarchical survey},
DOI = {10.1017/S1351324922000407},
journal = {Natural Language Engineering},
publisher = {Cambridge University Press},
author = {Troiano, Enrica and Velutharambath, Aswathy and
Klinger, Roman},
year = {2022},
url = {https://arxiv.org/abs/2110.15871},
}
@inproceedings{Wegge2022,
title = "Experiencer-Specific Emotion and Appraisal
Prediction",
author = {Maximilian Wegge and Enrica Troiano and Laura
Oberländer and Roman Klinger},
booktitle = "Proceedings of the Fifth Workshop on Natural
Language Processing and Computational Social
Science",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates and online",
publisher = "Association for Computational Linguistics",
note = "accepted",
pdf =
{https://www.romanklinger.de/publications/WeggeTroianoOberlaenderKlinger.pdf},
url = {https://arxiv.org/abs/2210.12078},
internaltype = {workshop},
}
@inproceedings{Wuehrl2021,
title = "Claim Detection in Biomedical {T}witter Posts",
author = {W{ü}hrl, Amelie and Klinger, Roman},
booktitle = "Proceedings of the 20th Workshop on Biomedical
Language Processing",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.info/2021.bionlp-1.15",
pages = "131-142",
}
@InProceedings{Wuehrl2021b,
author={Amelie Wührl and Roman Klinger},
title = {Claim Detection in Biomedical Twitter Posts as a Prerequisite for Fact-Checking},
year = {2021},
booktitle = {Proceedings of the BioCreative VII Challenge Evaluation Workshop},
url = {https://biocreative.bioinformatics.udel.edu/media/store/files/2021/Posters_pos_1_BC7_Wuehrl.pdf},
}
@inproceedings{Wuehrl2022,
title = "Entity-based Claim Representation Improves
Fact-Checking of Medical Content in Tweets",
author = {W{ü}hrl, Amelie and Klinger, Roman},
booktitle = "Proceedings of the 9th Workshop on Argument Mining",
month = oct,
year = "2022",
address = "Online and in Gyeongju, Republic of Korea",
publisher = "International Conference on Computational
Linguistics",
url = "https://aclanthology.org/2022.argmining-1.18",
pdf =
{https://www.romanklinger.de/publications/WuehrlKlinger_Argmining2022.pdf},
url = {https://arxiv.org/abs/2209.07834},
pages = "187-198",
}
@InProceedings{whrl-klinger:2022:LREC,
author = {Wührl, Amelie and Klinger, Roman},
title = {Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR)},
booktitle = {Proceedings of the Language Resources and Evaluation Conference},
month = {June},
year = {2022},
address = {Marseille, France},
publisher = {European Language Resources Association},
pages = {4439-4450},
url = {https://aclanthology.org/2022.lrec-1.472},
pdf = {http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.472.pdf},
}