---
title: "Vera Demberg — all works — Elamur Research"
description: "All 41 works of Vera Demberg in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Vera Demberg — all works

41 works · [← Vera Demberg](https://md.research.elamur.ai/free/en/authors/vera-demberg/)

1. **[Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains](https://md.research.elamur.ai/free/en/papers/shi-2019-next-sentence-prediction-helps-implicit/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Shi, Vera Demberg*2019 · 134 citations*
2. **[Implicitness of Discourse Relations](https://md.research.elamur.ai/free/en/papers/asr-2012-implicitness-discourse-relations/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Fatemeh Torabi Asr, Vera Demberg*2012 · 100 citations*
3. **[A Systematic Study of Neural Discourse Models for Implicit Discourse Relation](https://md.research.elamur.ai/free/en/papers/rutherford-2017-systematic-study-neural-discourse-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Attapol Rutherford, Vera Demberg, Nianwen Xue*2017 · 78 citations*
4. **[Annotating Discourse Relations in Spoken Language: A Comparison of the PDTB and CCR Frameworks](https://md.research.elamur.ai/free/en/papers/rehbein-2016-annotating-discourse-relations-spoken-language/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ines Rehbein, Merel Scholman, Vera Demberg*2016 · 59 citations*
5. **[Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences](https://md.research.elamur.ai/free/en/papers/hong-2023-visual-writing-prompts-character-grounded/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/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 Transfer arXiv:2306.07799**Dongqi Liu, Vera Demberg*2023 · 43 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-chatgpt-vs-human-authored-text/)
7. **[Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion Task](https://md.research.elamur.ai/free/en/papers/yung-2019-crowdsourcing-discourse-relation-annotations-two/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Frances Yung, Vera Demberg, Merel Scholman*2019 · 39 citations*
8. **[Thematic fit evaluation: an aspect of selectional preferences ↗](https://aclanthology.org/W16-2518/) Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP · no summary yet**Asad Sayeed, Clayton Greenberg, Vera Demberg*2016 · 38 citations*
9. **[On the Information Conveyed by Discourse Markers](https://md.research.elamur.ai/free/en/papers/asr-2013-information-conveyed-discourse-markers/) [Annual Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/annual-workshop-on-cognitive-modeling-and-computational-linguistics-cmcl/)**Fatemeh Torabi Asr, Vera Demberg*2013 · 38 citations*
10. **[How compatible are our discourse annotation frameworks? Insights from mapping RST-DT and PDTB annotations](https://md.research.elamur.ai/free/en/papers/demberg-2019-how-compatible-are-our-discourse/) [Dialogue & Discourse](https://md.research.elamur.ai/free/en/venues/dnd/)**Vera Demberg, Merel C.J. Scholman, Fatemeh Torabi Asr*2019 · 36 citations*
11. **[Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/shi-2019-learning-explicitate-connectives-seq2seq-network/) [International Conference on Computational Semantics – Long Papers](https://md.research.elamur.ai/free/en/venues/international-conference-on-computational-semantics-long-papers/)**Wei Shi, Vera Demberg*2019 · 36 citations*
12. **[Examples and Specifications that Prove a Point: Identifying Elaborative and Argumentative Discourse Relations](https://md.research.elamur.ai/free/en/papers/scholman-2017-examples-specifications-that-prove-point/) [Dialogue & Discourse](https://md.research.elamur.ai/free/en/venues/dnd/)**Merel C.J. Scholman, Vera Demberg*2017 · 31 citations*
13. [**Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training arXiv:2003.08272**Ernie Chang, David Ifeoluwa Adelani, Xiaoyu Shen, et al.*2020 · 26 citations*](https://md.research.elamur.ai/free/en/papers/chang-2020-unsupervised-pidgin-text-generation-pivoting/)
14. **[On the Need of Cross Validation for Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/shi-2017-need-cross-validation-discourse-relation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Wei Shi, Vera Demberg*2017 · 25 citations*
15. **[Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/shi-2017-explicit-discourse-connectives-translation-implicit/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Wei Shi, Frances Yung, Raphael Rubino, et al.*2017 · 25 citations*
16. **[Improving event prediction by representing script participants](https://md.research.elamur.ai/free/en/papers/ahrendt-2016-improving-event-prediction-representing-script/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Simon Ahrendt, Vera Demberg*2016 · 25 citations*
17. [**DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse Relations**Merel Scholman, Tianai Dong, Frances Yung, et al.*English · 23 citations*](https://md.research.elamur.ai/free/en/papers/scholman-2022-discogem-crowdsourced-corpus-genre-mixed/)
18. **[Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design](https://md.research.elamur.ai/free/en/papers/pyatkin-2023-design-choices-crowdsourcing-implicit-discourse/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/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 domains](https://md.research.elamur.ai/free/en/papers/scholman-2021-comparison-methods-explicit-discourse-connective/) [Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/codi/)**Merel Scholman, Tianai Dong, Frances Yung, et al.*2021 · 18 citations*
20. **[Measuring the Strength of Linguistic Cues for Discourse Relations](https://md.research.elamur.ai/free/en/papers/asr-2012-measuring-strength-linguistic-cues-discourse/) [Workshop on Advances in Discourse Analysis and its Computational Aspects](https://md.research.elamur.ai/free/en/venues/workshop-on-advances-in-discourse-analysis-and-its-computational-aspects/)**Fatemeh Torabi Asr, Vera Demberg*2012 · 17 citations*
21. **[Label distributions help implicit discourse relation classification](https://md.research.elamur.ai/free/en/papers/yung-2022-label-distributions-help-implicit-discourse/) [Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/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 Presentations](https://md.research.elamur.ai/free/en/papers/liu-2025-what-is-that-talk-about/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Training](https://md.research.elamur.ai/free/en/papers/scholman-2022-design-choices-crowdsourcing-discourse-relation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Merel Scholman, Valentina Pyatkin, Frances Yung, et al.*2022 · 11 citations*
24. **[Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/shi-2019-acquiring-annotated-data-cross-lingual/) [Workshop on Discourse Relation Parsing and Treebanking](https://md.research.elamur.ai/free/en/venues/workshop-on-discourse-relation-parsing-and-treebanking/)**Wei Shi, Frances Yung, Vera Demberg*2019 · 11 citations*
25. **[Explanatory Summarization with Discourse-Driven Planning](https://md.research.elamur.ai/free/en/papers/liu-2025-explanatory-summarization-discourse-driven-planning/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Dongqi Liu, Xi Yu, Vera Demberg, et al.*2025 · 8 citations*
26. [**SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives**Rashid Nizamani, Sebastian Schuster, Vera Demberg*English · 8 citations*](https://md.research.elamur.ai/free/en/papers/nizamani-2024-siga-naturalistic-nli-dataset-english/)
27. **[Investigating Explicitation of Discourse Connectives in Translation using Automatic Annotations](https://md.research.elamur.ai/free/en/papers/yung-2023-investigating-explicitation-discourse-connectives-translation/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://aclanthology.org/W17-3522/) Proceedings of the 10th International Conference on Natural Language Generation · no summary yet**David Howcroft, Jorrig Vogels, Vera Demberg*2017 · 8 citations*
29. [**German and English Treebanks and Lexica for Tree-Adjoining Grammars**Miriam Kaeshammer, Vera Demberg*English · 8 citations*](https://md.research.elamur.ai/free/en/papers/kaeshammer-2012-german-english-treebanks-lexica-tree/)
30. [**RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework**Yifan Wang, Vera Demberg*English · 7 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-rsa-control-pragmatics-grounded-lightweight/)
31. **[DiscoGeM 2.0: A Parallel Corpus of English, German, French and Czech Implicit Discourse Relations ↗](https://aclanthology.org/2024.lrec-main.443/) Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yet**Frances Yung et al.*2024 · 6 citations*
32. **[Rollenwechsel-English: a large-scale semantic role corpus](https://md.research.elamur.ai/free/en/papers/sayeed-2018-rollenwechsel-english-large-scale-semantic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Asad Sayeed, Pavel Shkadzko, Vera Demberg*2018 · 6 citations*
33. **[Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning ↗](https://aclanthology.org/W18-6546/) Proceedings of the 11th International Conference on Natural Language Generation · no summary yet**David M. Howcroft, Dietrich Klakow, Vera Demberg*2018 · 3 citations*
34. **[Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors ↗](https://arxiv.org/abs/2107.08337) arXiv:2107.08337 · no summary yet**Anupama Chingacham, Vera Demberg, Dietrich Klakow*2021 · 2 citations*
35. **[Modeling Turn-Taking with Semantically Informed Gestures](https://md.research.elamur.ai/free/en/papers/suresh-2026-modeling-turn-taking-semantically-informed/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Varsha Suresh, M. Hamza Mughal, Christian Theobalt, et al.*2026 · 1 citation*
36. **[Tug-of-war between idioms' figurative and literal interpretations in LLMs](https://md.research.elamur.ai/free/en/papers/oh-2026-tug-war-between-idioms-figurative/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://doi.org/10.52202/085713-3191) neural information processing systems · no summary yet**Mayank 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 English](https://md.research.elamur.ai/free/en/papers/skrjanec-2026-is-cross-lingual-transfer-bilingual/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/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. ↗](https://aclanthology.org/2026.lrec-1.769/) Proceedings of the Fifteenth Language Resources and Evaluation Conference · no summary yet**Anisha Saha et al.*2026*
40. **[Human Speech Perception in Noise: Can Large Language Models Paraphrase to Improve It? ↗](https://aclanthology.org/2024.hucllm-1.1/) Proceedings of the 1st Human-Centered Large Language Modeling Workshop · no summary yet**Anupama Chingacham et al.*2024*
41. **[Barch: an English Dataset of Bar Chart Summaries](https://md.research.elamur.ai/free/en/papers/skrjanec-2022-barch-english-dataset-bar-chart/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Iza Škrjanec, Muhammad Salman Edhi, Vera Demberg*2022*