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Sven Buechel
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2020 – today
- 2023
- [i13]Sven Buechel, Udo Hahn:
Emotion Embeddings - Learning Stable and Homogeneous Abstractions from Heterogeneous Affective Datasets. CoRR abs/2308.07871 (2023) - 2022
- [i12]Sven Buechel, Udo Hahn:
EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis. CoRR abs/2205.01996 (2022) - [i11]Damilola Omitaomu, Shabnam Tafreshi, Tingting Liu, Sven Buechel, Chris Callison-Burch, Johannes C. Eichstaedt, Lyle H. Ungar, João Sedoc:
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations. CoRR abs/2205.12698 (2022) - 2021
- [c23]Sven Buechel, Luise Modersohn, Udo Hahn:
Towards Label-Agnostic Emotion Embeddings. EMNLP (1) 2021: 9231-9249 - [c22]Shabnam Tafreshi, Orphée De Clercq, Valentin Barrière, Sven Buechel, João Sedoc, Alexandra Balahur:
WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories. WASSA@EACL 2021: 92-104 - [e1]Orphée De Clercq, Alexandra Balahur, João Sedoc, Valentin Barrière, Shabnam Tafreshi, Sven Buechel, Véronique Hoste:
Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@EACL 2021, Online, April 19, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-18-3 [contents] - 2020
- [c21]Sven Buechel, Susanna Rücker, Udo Hahn:
Learning and Evaluating Emotion Lexicons for 91 Languages. ACL 2020: 1202-1217 - [c20]Tinghui Duan, Sven Buechel, Udo Hahn:
"Romantik" im aktuellen parteipolitischen Diskurs auf Twitter. DHd 2020 - [c19]João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle H. Ungar:
Learning Word Ratings for Empathy and Distress from Document-Level User Responses. LREC 2020: 1664-1673 - [i10]Sven Buechel, Susanna Rücker, Udo Hahn:
Learning and Evaluating Emotion Lexicons for 91 Languages. CoRR abs/2005.05672 (2020) - [i9]Sven Buechel, Luise Modersohn, Udo Hahn:
Towards a Unified Framework for Emotion Analysis. CoRR abs/2012.00190 (2020)
2010 – 2019
- 2019
- [c18]Johannes Hellrich, Sven Buechel, Udo Hahn:
Modeling Word Emotion in Historical Language: Quantity Beats Supposed Stability in Seed Word Selection. LaTeCH@NAACL-HLT 2019: 1-11 - [i8]Sven Buechel, Simon Junker, Thore Schlaak, Claus Michelsen, Udo Hahn:
A Time Series Analysis of Emotional Loading in Central Bank Statements. CoRR abs/1911.11522 (2019) - [i7]João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle H. Ungar:
Learning Word Ratings for Empathy and Distress from Document-Level User Responses. CoRR abs/1912.01079 (2019) - 2018
- [c17]Sebastian G. M. Händschke, Sven Buechel, Jan Goldenstein, Philipp Poschmann, Tinghui Duan
, Peter Walgenbach, Udo Hahn:
A Corpus of Corporate Annual and Social Responsibility Reports: 280 Million Tokens of Balanced Organizational Writing. ECONLP@ACL 2018: 20-31 - [c16]Johannes Hellrich, Sven Buechel, Udo Hahn:
JeSemE: Interleaving Semantics and Emotions in a Web Service for the Exploration of Language Change Phenomena. COLING (Demos) 2018: 10-14 - [c15]Sven Buechel, Udo Hahn:
Emotion Representation Mapping for Automatic Lexicon Construction (Mostly) Performs on Human Level. COLING 2018: 2892-2904 - [c14]Maria Moritz, Johannes Hellrich, Sven Buechel:
Towards a Metric for Paraphrastic Modification. DH 2018: 457-459 - [c13]Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc:
Modeling Empathy and Distress in Reaction to News Stories. EMNLP 2018: 4758-4765 - [c12]Maria Moritz, Johannes Hellrich, Sven Büchel:
A Method for Human-Interpretable Paraphrasticality Prediction. LaTeCH@COLING 2018: 113-118 - [c11]Sven Buechel, Udo Hahn:
Representation Mapping: A Novel Approach to Generate High-Quality Multi-Lingual Emotion Lexicons. LREC 2018 - [c10]Christina Lohr, Sven Buechel, Udo Hahn:
Sharing Copies of Synthetic Clinical Corpora without Physical Distribution - A Case Study to Get Around IPRs and Privacy Constraints Featuring the German JSYNCC Corpus. LREC 2018 - [c9]Sven Buechel, Udo Hahn:
Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem. NAACL-HLT 2018: 1907-1918 - [i6]Johannes Hellrich, Sven Buechel, Udo Hahn:
Inducing Affective Lexical Semantics in Historical Language. CoRR abs/1806.08115 (2018) - [i5]Sven Buechel, Udo Hahn:
Emotion Representation Mapping for Automatic Lexicon Construction (Mostly) Performs on Human Level. CoRR abs/1806.08890 (2018) - [i4]Sven Buechel, Udo Hahn:
Representation Mapping: A Novel Approach to Generate High-Quality Multi-Lingual Emotion Lexicons. CoRR abs/1807.00775 (2018) - [i3]Johannes Hellrich, Sven Buechel, Udo Hahn:
JeSemE: A Website for Exploring Diachronic Changes in Word Meaning and Emotion. CoRR abs/1807.04148 (2018) - [i2]Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc:
Modeling Empathy and Distress in Reaction to News Stories. CoRR abs/1808.10399 (2018) - [i1]Sven Buechel, João Sedoc, H. Andrew Schwartz, Lyle H. Ungar:
Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations. CoRR abs/1810.10949 (2018) - 2017
- [c8]Sven Buechel, Udo Hahn:
Readers vs. Writers vs. Texts: Coping with Different Perspectives of Text Understanding in Emotion Annotation. LAW@ACL 2017: 1-12 - [c7]Sven Buechel, Udo Hahn:
A Flexible Mapping Scheme for Discrete and Dimensional Emotion Representations. CogSci 2017 - [c6]Sven Buechel, Johannes Hellrich, Udo Hahn:
The Course of Emotion in Three Centuries of German Text-A Methodological Framework. DH 2017 - [c5]Sven Buechel, Udo Hahn:
EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis. EACL (2) 2017: 578-585 - 2016
- [c4]Sven Buechel, Udo Hahn:
Emotion Analysis as a Regression Problem - Dimensional Models and Their Implications on Emotion Representation and Metrical Evaluation. ECAI 2016: 1114-1122 - [c3]Sven Buechel, Johannes Hellrich, Udo Hahn:
Feelings from the Past - Adapting Affective Lexicons for Historical Emotion Analysis. LT4DH@COLING 2016: 54-61 - [c2]Sven Buechel, Udo Hahn, Jan Goldenstein
, Sebastian G. M. Händschke
, Peter Walgenbach:
Do Enterprises Have Emotions? WASSA@NAACL-HLT 2016: 147-153 - 2015
- [c1]Johannes Hellrich, Stefan Schulz, Sven Buechel, Udo Hahn:
JUFIT: A Configurable Rule Engine for Filtering and Generating New Multilingual UMLS Terms. AMIA 2015
Coauthor Index
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