IDDISC: Publications

2024

• Adaptation to speakers is modulated by working memory updating and theory of mind -- a study investigating humor comprehension.
  Jia Loy and Vera Demberg.
  In Proceedings of the 45th Annual Conference of the Cognitive Science Society. https://escholarship.org/uc/item/8541n2hm
• Capable but not cooperative? Perceptions of ChatGPT as a pragmatic speaker.
  Alexandra Mayn, Jia Loy, and Vera Demberg
  In Proceedings of the 45th Annual Conference of the Cognitive Science Society. https://escholarship.org/uc/item/1c381535
• RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization.
  Dongqi Pu and Vera Demberg.
  In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 2200–2220, Mexico City, Mexico. Association for Computational Linguistics.https://doi.org/10.18653/v1/2024.naacl-long.121
• Connective Comprehension in Adults: The Influence of Lexical Transparency, Frequency, and Individual Differences.
  Merel C. J. Scholman, Marian Marchal, and Vera Demberg.
  In Discourse Processes. https://doi.org/10.1080/0163853X.2024.2325262
• SciNews: From Scholarly Complexities to Public Narratives—A Dataset for Scientific News Report Generation.
  Dongqi Pu, Yifan Wang, Jia Loy, and Vera Demberg.
  In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 14429–14444, Torino, Italia. ELRA and ICCL. https://aclanthology.org/2024.lrec-main.1258/
• SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives.
  Rashid Nizamani, Sebastian Schuster, and Vera Demberg.
  In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 14784–14795, Torino, Italia. ELRA and ICCL. https://aclanthology.org/2024.lrec-main.1288/
• SpreadNaLa: A Naturalistic Code Generation Evaluation Dataset of Spreadsheet Formulas.
  Sebastian Schuster, Ayesha Ansar, Om Agarwal, and Vera Demberg.
  In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 15216–15225, Torino, Italia. ELRA and ICCL.https://aclanthology.org/2024.lrec-main.1323/

2023

• Perspective Taking Reflects Beliefs About Partner Sophistication: Modern Computer Partners Versus Basic Computer and Human Partners.
  Jia E. Loy and Vera Demberg.
  In Cognitive Science, 47(12). https://doi.org/10.1111/cogs.13385
• Individual Differences in Spatial Orientation Modulate Perspective Taking in Listeners.
  Jia E. Loy and Vera Demberg.
  In Journal of Cognition, 6(1), 1–26. https://doi.org/10.5334/joc.321
• Modeling Overspecification as Uncertainty About Feature Uniqueness.
  Alexandra Mayn, Jia E. Loy, and Vera Demberg.
  Procedural and computational models of semantic and pragmatic processes (Pros&Comps Workshop 2023). ［Paper presentation］
• High Performance on a Pragmatic Task May Not Be the Result of Successful Reasoning: On the Importance of Eliciting Participants’ Reasoning Strategies.
  Alexandra Mayn and Vera Demberg.
  In Journal Open Mind, 7, 156–178. https://doi.org/10.1162/opmi_a_00077
• ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer.
  Dongqi Pu and Vera Demberg.
  In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 1–18, Toronto, Canada. ACL.
• What inferences do people actually make on encountering a redundant utterance? An individual differences study.
  Margarita Ryzhova, Alexandra Mayn, and Vera Demberg.
  In Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci 2023). https://escholarship.org/uc/item/88g7g5z0
• Working memory updating modulates adaptation to speaker-specific use of uncertainty expressions.
  Sebastian Schuster, Alexandra Mayn, and Vera Demberg.
  In Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci 2023).
• Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization.
  Dongqi Pu, Yifan Wang, and Vera Demberg.
  In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 5574–5590, Toronto, Canada. ACL. https://aclanthology.org/2023.acl-long.306/
• Entity Tracking in Language Models.
  Najoung Kim and Sebastian Schuster.
  In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 3835–3855, Toronto, Canada. ACL.
• Expectations over Unspoken Alternatives Predict Pragmatic Inferences.
  Jennifer Hu, Roger Levy, Judith Degen, and Sebastian Schuster.
  In Transactions of the Association for Computational Linguistics  (TACL). https://doi.org/10.1162/tacl_a_00579
• A systematic evaluation of factors affecting referring expression choice in passage completion tasks.
  Vera Demberg, Ekaterina Kravtchenko, and Jia Ern Loy.
  In Journal of Memory and Language. https://doi.org/10.1016/j.jml.2023.104413

2022

• Pragmatic comprehension in individuals is stable across time and some tasks.
  Margarita Ryzhova, Jia Loy, and Vera Demberg.
  In Frau, F., Bischetti, L., Pompei, C., Scalingi, B., Domaneschi, F., & Bambini, V. (eds.), Book of Abstracts - XPRAG 2022. https://doi.org/10.17605/OSF.IO/C4KP2
• Right for the Wrong Reason? On the importance of eliciting participants' reasoning.
  Alexandra Mayn and Vera Demberg.
  In Frau, F., Bischetti, L., Pompei, C., Scalingi, B., Domaneschi, F., & Bambini, V. (eds.), Book of Abstracts - XPRAG 2022. https://doi.org/10.17605/OSF.IO/C4KP2
• Two-Stage Movie Scripts Summarization: An Efficient Method For Low-Resource Long Documents Summarization.
  Dongqi Pu, Xudong Hong, Pin-Jie Lin, Ernie Chang, and Vera Demberg.
  In Proceedings of The Workshop on Automatic Summarization for Creative Writing, pp. 57–66. https://aclanthology.org/2022.creativesumm-1.9
• Establishing Annotation Quality in Multi-Label Annotations.
  Marian Marchal, Merel Scholman, Frances Yung, and Vera Demberg.
  In Proceedings of the 29th International Conference on Computational Linguistics (CoLing 2022).
• Label distributions help implicit discourse relation classification.
  Frances Yung, Kaveri Anuranjana, Merel Scholman, and Vera Demberg.
  In Proceedings of the Third Workshop on Computational Approaches to Discourse (CODI 2022), pp. 48–53. https://aclanthology.org/2022.codi-1.7
• Individual Differences in a Pragmatic Reference Game.
  Alexandra Mayn and Vera Demberg.
  In Proceedings of the 44th Annual Meeting of the Cognitive Science Society (CogSci 2022). https://escholarship.org/uc/item/0hb5h0hk
• Partner effects and individual differences on perspective taking.
  Jia Loy and Vera Demberg.
  In Proceedings of the 44th Annual Meeting of the Cognitive Science Society (CogSci 2022). https://escholarship.org/uc/item/3c98b0fw
• The effect of domain knowledge and implicitation on discourse relation inferences.
  Marian Marchal, Merel C. J. Scholman, and Vera Demberg.
  In Dialogue & Discourse,13(2), pp. 49-78. https://doi.org/10.5210/dad.2022.202
• Pragmatics of Metaphor Revisited: Formalizing the Role of Typicality and Alternative Utterances in Metaphor Understanding.
  Alexandra Mayn and Vera Demberg.
  In Proceedings of the 44th Annual Meeting of the Cognitive Science Society (CogSci 2022). https://escholarship.org/uc/item/7kq207zs
• Modeling atypicality inferences in pragmatic reasoning.
  Ekaterina Kravtchenko and Vera Demberg.
  In Proceedings of the 44th Annual Meeting of the Cognitive Science Society (CogSci 2022). https://escholarship.org/uc/item/7630p08b