Papers
All of the citations for published papers listed below are collected in the .bib file located here.
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- Vashishtha, Siddharth, Alexander Martin, William Gantt, Benjamin Van Durme & Aaron White. 2024. FAMuS: Frames Across Multiple Sources. In Kevin Duh, Helena Gomez & Steven Bethard (eds.), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 8250–8273. Mexico City, Mexico: Association for Computational Linguistics.
- Gantt, William, Shabnam Behzad, Hannah An, Yunmo Chen, Aaron White, Benjamin Van Durme & Mahsa Yarmohammadi. 2024. MultiMUC: Multilingual Template Filling on MUC-4. In Yvette Graham & Matthew Purver (eds.), Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 349–368. St. Julian’s, Malta: Association for Computational Linguistics.
- Gantt, William, Reno Kriz, Yunmo Chen, Siddharth Vashishtha & Aaron White. 2023. On Event Individuation for Document-Level Information Extraction. In Houda Bouamor, Juan Pino & Kalika Bali (eds.), Findings of the Association for Computational Linguistics: EMNLP 2023, 12938–12958. Singapore: Association for Computational Linguistics.
- Chen, Yunmo, William Gantt, Tongfei Chen, Aaron White & Benjamin Van Durme. 2023. A Unified View of Evaluation Metrics for Structured Prediction. In Houda Bouamor, Juan Pino & Kalika Bali (eds.), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 12868–12882. Singapore: Association for Computational Linguistics.
- Chen, Yunmo, William Gantt, Weiwei Gu, Tongfei Chen, Aaron White & Benjamin Van Durme. 2023. Iterative Document-level Information Extraction via Imitation Learning. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 1858–1874. Dubrovnik, Croatia: Association for Computational Linguistics.
Huang, Nick, Aaron Steven White, Chia-Hsuan Liao, Valentine Hacquard, and Jeffrey Lidz. 2022. Syntactic bootstrapping attitude verbs despite impoverished morphosyntax. Language Acquisition 29(1): 27--53.
- Yarmohammadi, Mahsa, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, et al. 2021. Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia & Scott Wen-tau Yih (eds.), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 1950–1967. Online and Punta Cana, Dominican Republic: Association for Computational Linguistics.
- Xia, Patrick, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White & Benjamin Van Durme. 2021. LOME: Large Ontology Multilingual Extraction. In Dimitra Gkatzia & Djamé Seddah (eds.), Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 149–159. Online: Association for Computational Linguistics.
- Xu, Haoran, Seth Ebner, Mahsa Yarmohammadi, Aaron Steven White, Benjamin Van Durme & Kenton Murray. 2021. Gradual Fine-Tuning for Low-Resource Domain Adaptation. In Eyal Ben-David, Shay Cohen, Ryan McDonald, Barbara Plank, Roi Reichart, Guy Rotman & Yftah Ziser (eds.), Proceedings of the Second Workshop on Domain Adaptation for NLP, 214–221. Kyiv, Ukraine: Association for Computational Linguistics.
- White, Aaron Steven, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, et al. 2020. The Universal Decompositional Semantics Dataset and Decomp Toolkit. In Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, et al. (eds.), Proceedings of the Twelfth Language Resources and Evaluation Conference, 5698–5707. Marseille, France: European Language Resources Association.
- Vashishtha, Siddharth, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme & Aaron Steven White. 2020. Temporal Reasoning in Natural Language Inference. In Findings of the Association for Computational Linguistics: EMNLP 2020, 4070–4078. Online: Association for Computational Linguistics.
- Moon, Ellise & Aaron Steven White. 2020. The source of nonfinite temporal interpretation. In Mariam Asatryan, Yixiao Song & Ayana Whitmal (eds.), Proceedings of the 50th Annual Meeting of the North East Linguistic Society, vol. 3, 11–24. Amherst, MA: GLSA Publications.
- White, Aaron Steven. 2019. Lexically triggered veridicality inferences. In Handbook of Pragmatics, vol. 22, 115–148. John Benjamins Publishing Company.
- White, Aaron Steven, Valentine Hacquard & Jeffrey Lidz. 2018. The labeling problem in syntactic bootstrapping: Main clause syntax in the acquisition of propositional attitude verbs. In Kristen Syrett & Sudha Arunachalam (eds.), Semantics in Acquisition (Trends in Language Acquisition Research (TiLAR), 198–220. John Benjamins Publishing Company.
- Poliak, Adam, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White & Benjamin Van Durme. 2018. Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 67–81. Brussels, Belgium: Association for Computational Linguistics.
- Rudinger, Rachel, Aaron Steven White & Benjamin Van Durme. 2018. Neural Models of Factuality. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 731–744. New Orleans, Louisiana: Association for Computational Linguistics.
- White, Aaron Steven, Rachel Rudinger, Kyle Rawlins & Benjamin Van Durme. 2018. Lexicosyntactic Inference in Neural Models. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 4717–4724. Brussels, Belgium: Association for Computational Linguistics.
- White, Aaron Steven & Kyle Rawlins. 2018. The role of veridicality and factivity in clause selection. In Sherry Hucklebridge & Max Nelson (eds.), Proceedings of the 48th Annual Meeting of the North East Linguistic Society, 221–234. Amherst, MA: GLSA Publications.
- Lidz, Jeffrey, Aaron Steven White & Rebecca Baier. 2017. The role of incremental parsing in syntactically conditioned word learning. Cognitive Psychology 97. 62–78.
- White, Aaron Steven, Pushpendre Rastogi, Kevin Duh & Benjamin Van Durme. 2017. Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 996–1005. Taipei, Taiwan: Asian Federation of Natural Language Processing.
- White, Aaron Steven, Kyle Rawlins & Benjamin Van Durme. 2017. The Semantic Proto-Role Linking Model. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, 92–98. Valencia, Spain: Association for Computational Linguistics.
- White, Aaron Steven, Drew Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins & Benjamin Van Durme. 2016. Universal Decompositional Semantics on Universal Dependencies. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 1713–1723. Austin, Texas: Association for Computational Linguistics.
- White, Aaron Steven. 2014. Factive-implicatives and modalized complements. In Jyoti Iyer & Leland Kusmer (eds.), Proceedings of the 44th annual meeting of the North East Linguistic Society, vol. 2, 267–278. Amherst, MA: GLSA Publications.
- White, Aaron Steven, Rachel Dudley, Valentine Hacquard & Jeffrey Lidz. 2014. Discovering classes of attitude verbs using subcategorization frame distributions. In Hsin-Lun Huang, Ethan Poole & Amanda Rysling (eds.), Proceedings of the 43rd Annual Meeting of the North East Linguistic Society, vol. 2, 249–260. Amherst, MA: GLSA Publications.