BibTeX
@InProceedings{andreou16:_instan_englis,
author = {Marios Andreou and Lea Kawaletz and Max Kisselew and Gabriella Lapesa and Sebastian Padó and Ingo Plag},
title = {Instance-based disambiguation of {E}nglish textit {-ment} derivatives},
booktitle = {Proceedings of the conference on cognitive structures: Linguistic, Philosophical and Psychological Perspectives},
year = 2016,
keywords = {myown abstract},
address = {D{u}sseldorf, Germany}}
@InProceedings{blessing19:_envir_relat_annot_polit_debat,
author = {Andre Blessing and Nico Blokker and Sebastian Haunss and Jonas Kuhn and Gabriella Lapesa and Sebastian Padó},
title = {An Environment for the Relational Annotation of Political Debates},
booktitle = {Proceedings of ACL System Demonstrations},
year = 2019,
address = {Florence, Italy},
keywords = {conference myown}}
@article{blokker:_between,
abstract = {Newspaper reports provide a rich source of information on the unfolding of public debates, which can serve as basis for inquiry in political science. Such debates are often triggered by critical events, which attract public attention and incite the reactions of political actors: crisis sparks the debate. However, due to the challenges of reliable annotation and modeling, few large-scale datasets with high-quality annotation are available. This paper introduces DebateNet2.0, which traces the political discourse on the 2015 European refugee crisis in the German quality newspaper taz. The core units of our annotation are political claims (requests for specific actions to be taken) and the actors who advance them (politicians, parties, etc.). Our contribution is twofold. First, we document and release DebateNet2.0 along with its companion R package, mardyR. Second, we outline and apply a Discourse Network Analysis (DNA) to DebateNet2.0, comparing two crucial moments of the policy debate on the ârefugee crisisâ: the migration flux through the Mediterranean in April/May and the one along the Balkan route in September/October. We guide the reader through the methods involved in constructing a discourse network from a newspaper, demonstrating that there is not one single discourse network for the German migration debate, but multiple ones, depending on the research question through the associated choices regarding political actors, policy fields and time spans.},
added-at = {2021-11-22T08:09:12.000+0100},
author = {Blokker, Nico and Blessing, Andre and Dayanik, Erenay and Kuhn, Jonas and Pad{ó}, Sebastian and Lapesa, Gabriella},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c17511a37e3ad0d3d416c2b7041e972d/sp},
interhash = {1942e48042e3ead163e5b2cd226baec5},
intrahash = {c17511a37e3ad0d3d416c2b7041e972d},
journal = {Language Resources and Evaluation},
keywords = {article myown},
pages = {121-153},
timestamp = {2023-05-11T17:11:35.000+0200},
title = {Between welcome culture and border fence: The {E}uropean refugee crisis in {G}erman newspaper reports},
url = {https://doi.org/10.1007/s10579-023-09641-8},
volume = 57,
year = 2023
}
@InProceedings{blokker22:_why_justif_claim_matter_under_party_posit,
author = {Nico Blokker and Tanise Ceron and Andre Blessing and Erenay Dayanik and Sebastian Haunss and Jonas Kuhn and Gabriella Lapesa and Sebastian Padó},
title = {Why Justifications of Claims Matter for Understanding Party Positions},
keywords = {myown workshop},
booktitle = {Proceedings of the 2nd Workshop on Computational Linguistics for Political Text Analysis},
url = {https://old.gscl.org/media/pages/arbeitskreise/cpss/cpss-2022/workshop-proceedings-2022/254133848-1662996909/cpss-2022-proceedings.pdf},
year = 2022}
@InProceedings{blokker20:_swimm_tide,
added-at = {2020-10-02T09:43:59.000+0200},
address = {Online},
author = {Blokker, Nico and Dayanik, Erenay and Lapesa, Gabriella and Padó, Sebastian},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c8caad10654ddbc031a19634a4204f7a/sp},
booktitle = {Proceedings of the {NLP+CSS} workshop},
interhash = {9399eb41d74c6c2be84a191bfa6d1885},
intrahash = {c8caad10654ddbc031a19634a4204f7a},
keywords = {myown workshop},
pages = {24-34},
timestamp = {2020-11-11T21:06:25.000+0100},
title = {Swimming with the Tide? Positional Claim Detection across Political Text Types},
url = {https://www.aclweb.org/anthology/2020.nlpcss-1.3/},
year = 2020
}
@InProceedings{dayanik21:_using_hierar_class_struc_improv,
added-at = {2021-06-01T20:41:13.000+0200},
address = {Bangkok, Thailand},
author = {Dayanik, Erenay and Blessing, Andre and Blokker, Nico and Haunss, Sebastian and Kuhn, Jonas and Lapesa, Gabriella and Padó, Sebastian},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20f6d2fc4aa639e7210990201291d5a5c/sp},
booktitle = {Proceedings of the ACL Workshop of Structured Prediction},
interhash = {dd2830015fb7948b28906be22cd03a64},
intrahash = {0f6d2fc4aa639e7210990201291d5a5c},
keywords = {myown workshop},
timestamp = {2021-08-05T19:17:39.000+0200},
title = {Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification},
url = {https://aclanthology.org/2021.spnlp-1.6/},
year = 2021
}
@InProceedings{dayanik22:improving,
author = {Erenay Dayanik and Andre Blessing and Nico Blokker and Sebastian Haunss and Jonas Kuhn and Gabriella Lapesa and Sebastian Padó},
title = {Improving Neural Political Statement Classification with Class Hierarchical Information},
keywords = {conference myown preprint},
booktitle = {Findings of ACL},
year = 2022,
pages = "2367-2382",
note = {Acceptance rate: 31.4 url = {https://aclanthology.org/2022.findings-acl.186},
address = {Dublin, Ireland},
}
@InProceedings{EichelEtAl:22,
author = {Annerose Eichel and Gabriella Lapesa and Sabine {Schulte im Walde}},
title = {{Investigating Independence vs. Control: Agenda-Setting in Russian News Coverage on Social Media}},
booktitle = {Proceedings of the 13th International Conference on Language Resources and Evaluation},
pages = {5314-5323},
year = {2022},
address = {Marseille, France},
}
@InProceedings{evert-lapesa-2021-fast,
title = "{FAST}: A carefully sampled and cognitively motivated dataset
for distributional semantic evaluation",
author = "Evert, Stefan and
Lapesa, Gabriella",
booktitle = "Proceedings of the 25th Conference on Computational
Natural Language Learning",
month = nov,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.conll-1.46",
pages = "588-595",
}
@InProceedings{falk-etal-2021-predicting,
title = "Predicting Moderation of Deliberative Arguments: Is Argument
Quality the Key?",
author = "Falk, Neele and
Jundi, Iman and
Vecchi, Eva Maria and
Lapesa, Gabriella",
booktitle = "Proceedings of the 8th Workshop on Argument Mining",
month = nov,
year = "2021",
address = "Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.argmining-1.13",
pages = "133-141",
}
@InProceedings{FrassinelliEtAl:21,
author = {Diego Frassinelli and Gabriella Lapesa and Reem Alatrash and Dominik Schlechtweg and Sabine {Schulte im Walde}},
title = {{Regression Analysis of Lexical and Morpho-Syntactic Properties of Kiezdeutsch}},
booktitle = {Proceedings of the 8th Workshop on NLP for Similar Languages, Varieties and Dialects},
year = {2021},
address = {Kyiv, Ukraine (online)},
pages = {21-27},
}
@article{haunss20:_integ_manual_autom_annot_creat,
abstract = {This article investigates the integration of machine learning in the political claim annotation workflow with the goal to partially automate the annotation and analysis of large text corpora. It introduces the MARDY annotation environment and presents results from an experiment in which the annotation quality of annotators with and without machine learning based annotation support is compared. The design and setting aim to measure and evaluate: a) annotation speed; b) annotation quality; and c) applicability to the use case of discourse network generation. While the results indicate only slight increases in terms of annotation speed, the authors find a moderate boost in annotation quality. Additionally, with the help of manual annotation of the actors and filtering out of the false positives, the machine learning based annotation suggestions allow the authors to fully recover the core network of the discourse as extracted from the articles annotated during the experiment. This is due to the redundancy which is naturally present in the annotated texts. Thus, assuming a research focus not on the complete network but the network core, an AI-based annotation can provide reliable information about discourse networks with much less human intervention than compared to the traditional manual approach.},
added-at = {2020-03-23T20:19:19.000+0100},
author = {Haunss, Sebastian and Kuhn, Jonas and Padó, Sebastian and Blessing, Andre and Blokker, Nico and Dayanik, Erenay and Lapesa, Gabriella},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/24dcbda0eb92af231eef2b033d8d51b23/sp},
interhash = {31dfa8365630383946e268e14bca9968},
intrahash = {4dcbda0eb92af231eef2b033d8d51b23},
journal = {Politics and Governance},
keywords = {article myown},
number = 2,
timestamp = {2020-06-02T16:24:19.000+0200},
title = {Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets},
url = {https://dx.doi.org/10.17645/pag.v8i2.2591},
volume = 8,
year = 2020
}
@article{lapesa20:_analy_polit_debat_newsp_repor,
abstract = {Discourse network analysis is an aspiring development in political science which analyzes political debates in terms of bipartite actor/claim networks. It aims at understanding the structure and temporal dynamics of major political debates as instances of politicized democratic decision making. We discuss how such networks can be constructed on the basis of large collections of unstructured text, namely newspaper reports. We sketch a hybrid methodology of manual analysis by domain experts complemented by machine learning and exemplify it on the case study of the German public debate on immigration in the year 2015. The first half of our article sketches the conceptual building blocks of discourse network analysis and demonstrates its application. The second half discusses the potential of the application of NLP methods to support the creation of discourse network datasets.},
added-at = {2020-05-29T15:45:59.000+0200},
author = {Lapesa, Gabriella and Blessing, Andre and Blokker, Nico and Dayanik, Erenay and Haunss, Sebastian and Kuhn, Jonas and Padó, Sebastian},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/24226ed780f206d3d17058c3482f81bf1/sp},
interhash = {cfd5940a96a17ad172311fe643cff81b},
intrahash = {4226ed780f206d3d17058c3482f81bf1},
journal = {Datenbank-Spektrum},
keywords = {article myown},
number = 2,
timestamp = {2020-06-18T16:40:56.000+0200},
title = {Analysis of Political Debates through Newspaper Reports: Methods and Outcomes},
url = {https://dx.doi.org/10.1007/s13222-020-00344-w},
volume = 20,
year = 2020
}
@InProceedings{lapesa2020debatenetmig15,
abstract = {DEbateNet-migr15 is a manually annotated dataset for German which covers the public debate on immigration in 2015. The building block of our annotation is the political science notion of a claim, i.e., a statement made by a political actor (a politician, a party, or a group of citizens) that a specific action should be taken (e.g., vacant flats should be assigned to refugees). We identify claims in newspaper articles, assign them to actors and fine-grained categories and annotate their polarity and date. The aim of this paper is two-fold: first, we release the full DEbateNet-mig15 corpus and document it by means of a quantitative and qualitative analysis; second, we demonstrate its application in a discourse network analysis framework, which enables us to capture the temporal dynamics of the political debate.},
added-at = {2020-02-11T14:44:55.000+0100},
address = {Online},
author = {Lapesa, Gabriella and Blessing, Andre and Blokker, Nico and Dayanik, Erenay and Haunss, Sebastian and Kuhn, Jonas and Padó, Sebastian},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/23e4f84069e33ea38700b4b9e36f6e61e/sp},
booktitle = {Proceedings of LREC},
interhash = {351c134387fd9e594c83bc773b14529e},
intrahash = {3e4f84069e33ea38700b4b9e36f6e61e},
keywords = {conference myown},
pages = {919-927},
timestamp = {2020-12-07T16:42:49.000+0100},
title = {{DEbateNet-mig15}: {T}racing the 2015 Immigration Debate in {G}ermany Over Time},
url = {https://www.aclweb.org/anthology/2020.lrec-1.115},
year = 2020
}
@InProceedings{lapesaevert-14,
author = {Lapesa, Gabriella and Evert, Stefan},
title = {{NaDiR: Naive Distributional Response Generation}},
booktitle = {Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon
(CogALex)},
year = {2014},
pages = {50-59},
address = {Dublin},
month = {August},
url = {https://www.aclweb.org/anthology/W14-4707}
}
@InProceedings{lapesaetal:14a,
author = {Gabriella Lapesa and Stefan Evert and Sabine {Schulte im Walde}},
title = {Contrasting {S}yntagmatic and {P}aradigmatic {R}elations: {I}nsights
from {D}istributional {S}emantic {M}odels},
booktitle = {Proceedings of the 3rd Joint Conference on Lexical and Computational
Semantics},
year = {2014},
pages = {160-170},
address = {Dublin, Ireland}
}
@InProceedings{lapesa17:_type_englis,
author = {Gabriella Lapesa and Lea Kawaletz and Marios Andreou and Max Kisselew and Sebastian Padó and Ingo Plag},
title = {Type disambiguation of {E}nglish textit {-ment} derivatives},
booktitle = {Proceedings of the 11th Mediterranean Morphology Meeting},
year = 2017,
keywords = {myown abstract},
address = {Nikosia, Cyprus}}
@Article{lapesa17:_disam,
author = {Gabriella Lapesa and Lea Kawaletz and Ingo Plag and Marios Andreou and Max Kisselew and Sebastian Padó},
title = {Disambiguation of newly derived nominalizations in context: {A Distributional Semantics approach}},
journal = {Word Structure},
keywords = {myown},
url = {https://doi.org/10.3366/word.2018.0131},
volume = {11},
number = {3},
pages = {315-350},
year = 2018}
@InProceedings{lapesa16:_charac,
author = {Gabriella Lapesa and Max Kisselew and Sebastian Padó and Tillmann Pross and Antje Rossdeutscher},
title = {Characterizing the pragmatic component of distributional vectors in terms of polarity: Experiments on {G}erman textit {{u}ber} verbs},
booktitle = {ESSLLI DISSALT Workshop: Distributional Semantics and Semantic Theory},
year = 2016,
keywords = {myown abstract},
address = {Bolzano, Italy}}
@InProceedings{lapesa17:_are_doggies_reall_nicer_than_dogs,
author = {Gabriella Lapesa and Sebastian Padó and Tillmann Pross and Antje Rossdeutscher},
title = {Are doggies really nicer than dogs? The impact of morphological derivation on emotional valence in {G}erman},
keywords = {conference myown},
booktitle = {Proceedings of IWCS},
year = 2017,
url = {https://www.aclweb.org/anthology/W/W17/W17-6922.pdf},
address = {Montpellier, France}}
@misc{lapesaschulteevert-14,
author = {Lapesa, Gabriella and Schulte im Walde, Sabine and Evert, Stefan},
title = {{Judging Paradigmatic Relations: A New Collection of English Ratings}},
howpublished = {Poster presented at the 20th {Conference on Architectures and Mechanisms
for Language Processing (AMLaP), Edinburgh, Scotland}},
year = {2014},
note = {(abstract submission)}
}
@InProceedings{melymuka17:_model_deriv_morph_in_ukrain,
author = {Mariia Melymuka and Gabriella Lapesa and Max Kisselew and Sebastian Padó},
title = {Modeling Derivational Morphology in {U}krainian},
keywords = {conference myown},
booktitle = {Proceedings of IWCS},
year = 2017,
url = {https://www.aclweb.org/anthology/W/W17/W17-6928.pdf},
address = {Montpellier, France}}
@InProceedings{papay17:_evaluat_and_improv_deriv_lexic,
author = {Sean Papay and Gabriella Lapesa and Sebastian Padó},
title = {Evaluating and Improving a Derivational Lexicon with Graph-theoretical Methods},
booktitle = {Proceedings of the DeriMo workshop},
keywords = {workshop myown},
year = 2017,
address = {Milan, Italy}}
@InProceedings{pross17:_integ,
author = {Tillmann Pross and Antje Rossdeutscher and Gabriella Lapesa and Sebastian Padó},
title = {Integrating lexical-conceptual and distributional semantics: a case report},
booktitle = {Proceedings of the Amsterdam Colloquium},
address = {Amsterdam, The Netherlands},
year = 2017}
@InProceedings{pross16:_over,
author = {Tillmann Pross and Antje Rossdeutscher and Sebastian Padó and Gabriella Lapesa and Max Kisselew},
title = {'Over reference': A comparative study on {G}erman prefix verbs},
booktitle = {ESSLLI SemRefPlus Workshop: Referential semantics one
step further: Incorporating insights from conceptual
and distributional approaches to meaning},
year = 2016,
keywords = {myown abstract},
address = {Bolzano, Italy}}
@InProceedings{Pross2017b,
author = {Pross, Tillmann and Ro{ß}deutscher, Antje and Padó, Sebastian and Lapesa, Gabriella and Kisselew, Max},
title = {Integrating lexical-conceptual and distributional semantics: a case report},
booktitle = {Proceedings of the Amsterdam Colloquium 2017},
year = {2017},
pages = {75-85},
owner = {tillmannpross},
timestamp = {2017.11.08},
}
@InProceedings{shafaei17:_towar_cross_lingual_compar_of_deriv_lexic,
author = {Elnaz Shafaei and Diego Frassinelli and Gabriella Lapesa and Sebastian Padó},
title = {Towards Cross-Lingual Comparability of Derivational Lexicons: An Extraction Algorithm for {CELEX}},
keywords = {workshop myown},
booktitle = {Proceedings of the DeriMo workshop},
year = 2017,
address = {Milan, Italy}}
@InProceedings{varvara16:_quant,
author = {Rossella Varvara and Gabriella Lapesa and Sebastian Padó},
title = {Quantifying regularity in morphological processes: An ongoing study on nominalization in {G}erman},
booktitle = {ESSLLI DISSALT Workshop: Distributional Semantics and Semantic Theory},
year = 2016,
keywords = {myown abstract},
address = {Bolzano, Italy}}
@article{varvara:_groun_seman_trans_in_contex,
abstract = { We present the results of a large-scale corpus-based comparison of
two German event nominalization patterns: deverbal nouns in
-ung (e.g., die Evaluierung, 'the evaluation')
and nominal infinitives (e.g., das Evaluieren, 'the
evaluating'). Among the many available event nominalization
patterns for German, we selected these two because they are both
highly productive and challenging from the semantic point of view.
Both patterns are known to keep a tight relation with the event
denoted by the base verb, but with different nuances. Our study
targets a better understanding of the differences in their semantic
import.
The key notion of our comparison is that of semantic transparency,
and we propose a usage-based characterization of the relationship
between derived nominals and their bases. Using methods from
distributional semantics, we bring to bear two concrete measures of
transparency which highlight different nuances: the first one,
cosine, detects nominalizations which are semantically
similar to their bases; the second one, distributional
inclusion, detects nominalizations which are used in a subset of
the contexts of the base verb. We find that the inclusion measure
helps in characterizing the difference between the two types of
nominalizations, in relation with the traditionally considered
variable of relative frequency (Hay, 2001). We further benefit from
our distributional analysis to frame our comparison in the broader
coordinates of the inflection vs. derivation cline.},
added-at = {2021-04-22T09:47:08.000+0200},
author = {Varvara, Rossella and Lapesa, Gabriella and Padó, Sebastian},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2710319e2b7cd0a488842da3889289927/sp},
interhash = {3cb922fdbc49dea0b6529ec82e7a0133},
intrahash = {710319e2b7cd0a488842da3889289927},
journal = {Morphology},
keywords = {article myown},
pages = {409-446},
timestamp = {2021-10-25T09:36:36.000+0200},
title = {Grounding Semantic Transparency In Context: A Distributional Semantic Study on {G}erman Event Nominalizations},
url = {https://doi.org/10.1007/s11525-021-09382-w},
volume = 31,
year = 2021
}
@InProceedings{vecchi-etal-2021-towards,
title = "Towards Argument Mining for Social Good: A Survey",
author = "Vecchi, Eva Maria and
Falk, Neele and
Jundi, Iman and
Lapesa, Gabriella",
booktitle = "Proceedings of the 59th Annual Meeting of the Association
for Computational Linguistics and the 11th International Joint Conference
on Natural Language Processing (Volume 1: Long Papers)",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.acl-long.107",
doi = "10.18653/v1/2021.acl-long.107",
pages = "1338-1352",
}
@proceedings{sigtyp-2021-typology,
title = "Proceedings of the Third Workshop on Computational Typology
and Multilingual NLP",
editor = {Vylomova, Ekaterina and
Salesky, Elizabeth and
Mielke, Sabrina and
Lapesa, Gabriella and
Kumar, Ritesh and
Hammarstr{ö}m, Harald and
Vuli{c}, Ivan and
Korhonen, Anna and
Reichart, Roi and
Ponti, Edoardo Maria and
Cotterell, Ryan},
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.sigtyp-1.0",
}
@inproceedings{lapesa23:_polit,
abstract = {The identification and classification of political claims is an important step in the analysis of political newspaper reports; however, resources for this task are few and far between. This paper explores different strategies for the cross-lingual projection of political claims analysis. We conduct experiments on a German dataset, DebateNet2.0, covering the policy debate sparked by the 2015 refugee crisis. Our evaluation involves two tasks (claim identification and categorization), three languages (German, English, and French) and two methods (machine translation -- the best method in our experiments -- and multilingual embeddings).},
added-at = {2023-06-30T17:12:45.000+0200},
address = {Ingolstadt, Germany},
author = {Zaberer, Urs and Pad{ó}, Sebastian and Lapesa, Gabriella},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20744d03dc358ce83af99d8cb647ea0f2/sp},
booktitle = {Proceedings of KONVENS},
interhash = {67b44543e42d8858c71a0fc994c417fa},
intrahash = {0744d03dc358ce83af99d8cb647ea0f2},
keywords = {conference myown},
timestamp = {2023-10-19T15:58:48.000+0200},
title = {Political claim identification and categorization in a multilingual setting: {F}irst experiments},
url = {https://arxiv.org/abs/2310.09256},
year = 2023
}