BibTeX
@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",
}
@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{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},
}