🧑‍🔬 Vera Demberg — all works

41 works · ← Vera Demberg

1. Next Sentence Prediction helps Implicit Discourse Relation Classification within and across DomainsConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Shi, Vera Demberg2019 · 134 citations
2. Implicitness of Discourse RelationsInternational Conference on Computational Linguistics (COLING)Fatemeh Torabi Asr, Vera Demberg2012 · 100 citations
3. A Systematic Study of Neural Discourse Models for Implicit Discourse RelationConference of the European Chapter of the Association for Computational Linguistics (EACL)Attapol Rutherford, Vera Demberg, Nianwen Xue2017 · 78 citations
4. Annotating Discourse Relations in Spoken Language: A Comparison of the PDTB and CCR FrameworksLanguage Resources and Evaluation Conference (LREC)Ines Rehbein, Merel Scholman, Vera Demberg2016 · 59 citations
5. Visual Writing Prompts: Character-Grounded Story Generation with Curated Image SequencesTransactions of the Association for Computational Linguistics (TACL)Xudong Hong, Asad Sayeed, Khushboo Mehra, et al.2023 · 47 citations
6. ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style TransferarXiv:2306.07799Dongqi Liu, Vera Demberg2023 · 43 citations
7. Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion TaskLinguistic Annotation Workshop (LAW)Frances Yung, Vera Demberg, Merel Scholman2019 · 39 citations
8. Thematic fit evaluation: an aspect of selectional preferences ↗Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP · no summary yetAsad Sayeed, Clayton Greenberg, Vera Demberg2016 · 38 citations
9. On the Information Conveyed by Discourse MarkersAnnual Workshop on Cognitive Modeling and Computational Linguistics (CMCL)Fatemeh Torabi Asr, Vera Demberg2013 · 38 citations
10. How compatible are our discourse annotation frameworks? Insights from mapping RST-DT and PDTB annotationsDialogue & DiscourseVera Demberg, Merel C.J. Scholman, Fatemeh Torabi Asr2019 · 36 citations
11. Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation ClassificationInternational Conference on Computational Semantics – Long PapersWei Shi, Vera Demberg2019 · 36 citations
12. Examples and Specifications that Prove a Point: Identifying Elaborative and Argumentative Discourse RelationsDialogue & DiscourseMerel C.J. Scholman, Vera Demberg2017 · 31 citations
13. Unsupervised Pidgin Text Generation By Pivoting English Data and Self-TrainingarXiv:2003.08272Ernie Chang, David Ifeoluwa Adelani, Xiaoyu Shen, et al.2020 · 26 citations
14. On the Need of Cross Validation for Discourse Relation ClassificationConference of the European Chapter of the Association for Computational Linguistics (EACL)Wei Shi, Vera Demberg2017 · 25 citations
15. Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation ClassificationInternational Joint Conference on Natural Language Processing (IJCNLP)Wei Shi, Frances Yung, Raphael Rubino, et al.2017 · 25 citations
16. Improving event prediction by representing script participantsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Simon Ahrendt, Vera Demberg2016 · 25 citations
17. DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse RelationsMerel Scholman, Tianai Dong, Frances Yung, et al.English · 23 citations
18. Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task DesignTransactions of the Association for Computational Linguistics (TACL)Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.2023 · 19 citations
19. Comparison of methods for explicit discourse connective identification across various domainsWorkshop on Computational Approaches to Discourse (CODI)Merel Scholman, Tianai Dong, Frances Yung, et al.2021 · 18 citations
20. Measuring the Strength of Linguistic Cues for Discourse RelationsWorkshop on Advances in Discourse Analysis and its Computational AspectsFatemeh Torabi Asr, Vera Demberg2012 · 17 citations
21. Label distributions help implicit discourse relation classificationWorkshop on Computational Approaches to Discourse (CODI)Frances Yung, Kaveri Anuranjana, Merel Scholman, et al.2022 · 16 citations
22. What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific PresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Dongqi Liu, Chenxi Whitehouse, Xi Yu, et al.2025 · 13 citations
23. Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and TrainingLanguage Resources and Evaluation Conference (LREC)Merel Scholman, Valentina Pyatkin, Frances Yung, et al.2022 · 11 citations
24. Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation ClassificationWorkshop on Discourse Relation Parsing and TreebankingWei Shi, Frances Yung, Vera Demberg2019 · 11 citations
25. Explanatory Summarization with Discourse-Driven PlanningTransactions of the Association for Computational Linguistics (TACL)Dongqi Liu, Xi Yu, Vera Demberg, et al.2025 · 8 citations
26. SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable AdjectivesRashid Nizamani, Sebastian Schuster, Vera DembergEnglish · 8 citations
27. Investigating Explicitation of Discourse Connectives in Translation using Automatic AnnotationsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Frances Yung, Merel Scholman, Ekaterina Lapshinova-Koltunski, et al.2023 · 8 citations
28. G-TUNA: a corpus of referring expressions in German, including duration information ↗Proceedings of the 10th International Conference on Natural Language Generation · no summary yetDavid Howcroft, Jorrig Vogels, Vera Demberg2017 · 8 citations
29. German and English Treebanks and Lexica for Tree-Adjoining GrammarsMiriam Kaeshammer, Vera DembergEnglish · 8 citations
30. RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation FrameworkYifan Wang, Vera DembergEnglish · 7 citations
31. DiscoGeM 2.0: A Parallel Corpus of English, German, French and Czech Implicit Discourse Relations ↗Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yetFrances Yung et al.2024 · 6 citations
32. Rollenwechsel-English: a large-scale semantic role corpusLanguage Resources and Evaluation Conference (LREC)Asad Sayeed, Pavel Shkadzko, Vera Demberg2018 · 6 citations
33. Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning ↗Proceedings of the 11th International Conference on Natural Language Generation · no summary yetDavid M. Howcroft, Dietrich Klakow, Vera Demberg2018 · 3 citations
34. Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors ↗arXiv:2107.08337 · no summary yetAnupama Chingacham, Vera Demberg, Dietrich Klakow2021 · 2 citations
35. Modeling Turn-Taking with Semantically Informed GesturesFindings of the Association for Computational LinguisticsVarsha Suresh, M. Hamza Mughal, Christian Theobalt, et al.2026 · 1 citation
36. Tug-of-war between idioms' figurative and literal interpretations in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Soyoung Oh, Xinting Huang, Mathis Pink, et al.2026 · 1 citation
37. Born a Transformer — Always a Transformer? On the Effect of Pretraining on Architectural Abilities ↗neural information processing systems · no summary yetMayank Jobanputra et al.2025 · 1 citation
38. Is Cross-Lingual Transfer in Bilingual Models Human-Like? A Study with Overlapping Word Forms in Dutch and EnglishWorkshop on Cognitive Modeling and Computational Linguistics (CMCL)Iza Škrjanec, Irene Elisabeth Winther, Vera Demberg, et al.2026
39. MUStReason: A Benchmark for Diagnosing Pragmatic Reasoning in VideoLMs for Multimodal Sarcasm Detection. ↗Proceedings of the Fifteenth Language Resources and Evaluation Conference · no summary yetAnisha Saha et al.2026
40. Human Speech Perception in Noise: Can Large Language Models Paraphrase to Improve It? ↗Proceedings of the 1st Human-Centered Large Language Modeling Workshop · no summary yetAnupama Chingacham et al.2024
41. Barch: an English Dataset of Bar Chart SummariesLanguage Resources and Evaluation Conference (LREC)Iza Škrjanec, Muhammad Salman Edhi, Vera Demberg2022

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