Grove, Julian and Aaron Steven White. 2024. Factivity, presupposition projection, and the role of discrete knowledge in gradient inference judgments. [pdf]

Vashishtha, Siddharth, Alexander Martin, William Gantt, Benjamin Van Durme, and Aaron Steven White. 2024. FAMuS: Frames Across Multiple Sources. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Mexico City: Association for Computational Linguistics. [pdf, data, doi]

Gantt, William, Alexander Martin, Pavlo Kuchmiichuk, and Aaron Steven White. 2024. Event-Keyed Summarization. [pdf, data]

Gantt, William, Shabnam Behzad, Hannah YoungEun An, Yunmo Chen, Aaron Steven White, Benjamin Van Durme, and Mahsa Yarmohammadi. 2024. MultiMUC: Multilingual Template Filling on MUC-4. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, Malta. Association for Computational Linguistics. [pdf, data, doi]

Gantt, William, Reno Kriz, Yunmo Chen, Siddharth Vashishtha, and Aaron White. 2023. On Event Individuation for Document-Level Information Extraction. Findings of the Association for Computational Linguistics: EMNLP 2023, pages 12938–12958, Singapore. Association for Computational Linguistics. [pdf, data, doi, bib]

Chen, Yunmo, William Gantt, Tongfei Chen, Aaron White, and Benjamin Van Durme. 2023. A Unified View of Evaluation Metrics for Structured Prediction. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12868–12882, Singapore. Association for Computational Linguistics. [pdf, code, doi, bib]

Barham, Samuel, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan Boyd-Graber, Benjamin Van Durme. 2023. MegaWika: Millions of reports and their sources across 50 diverse languages. [pdf, data, doi]

Chen, Yunmo, William Gantt, Weiwei Gu, Tongfei Chen, Aaron White, and Benjamin Van Durme. 2023. Iterative Document-level Information Extraction via Imitation Learning. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1850–1866, Dubrovnik, Croatia. Association for Computational Linguistics. [pdf, doi, bib]

White, Aaron Steven, and Jeffrey Lidz. 2022. Lexicalization in the developing parser. Glossa Psycholinguistics 1(1): 2, 1-22. [pdf, doi]

Gantt, William, Lelia Glass, and Aaron Steven White. 2022. Decomposing and Recomposing Event Structure. Transactions of the Association for Computational Linguistics 10: 17–34 [pdf, data, code, doi]

Kane, Benjamin, William Gantt, and Aaron Steven White. 2022. Intensional Gaps: Relating veridicality, doxasticity, bouleticity, and neg-raising. Edited by Nicole Dreier and Chloe Kwon. Semantics and Linguistic Theory 31: 570-605. [pdf, data, code, doi]

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. [pdf (preprint), doi]

White, Aaron Steven. 2021. On Believing and Hoping Whether. Semantics and Pragmatics 14 (6): 1–18. [pdf, code, doi]

Stengel-Eskin, Elias, Sheng Zhang, Kenton Murray, Aaron Steven White, and Benjamin Van Durme. 2021. Joint Universal Syntactic and Semantic Parsing. Transactions of the Association for Computational Linguistics 9: 756—773. [pdf, code, doi]

Kim, Gene Louis and Aaron Steven White. 2021. Montague Grammar Induction. Edited by Joseph Rhyne, Kaelyn Lamp, Nicole Dreier, and Chloe Kwon. Semantics and Linguistic Theory 30: 227–251. [pdf, doi]

Yarmohammadi, M., S. Wu, M. Marone, H. Xu, S. Ebner, G. Qin, Y. Chen, J. Guo, C. Harman, K. Murray, A.S. White, M. Dredze and B. Van Durme. 2021. Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 1950–1967. Online and Punta Cana, Dominican Republic: Association for Computational Linguistics. [pdf]

Xia, Patrick, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, and Benjamin Van Durme. 2021. LOME: Large Ontology Multilingual Extraction. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 149–159. Kyiv, Ukraine: Association for Computational Linguistics. [pdf, demo, docker, bib]

Xu, Haoran, Seth Ebner, Mahsa Yarmohammadi, Aaron Steven White, Benjamin Van Durme, and Kenton Murray. 2021. Gradual Fine-Tuning for Low-Resource Domain Adaptation. Proceedings of the Second Workshop on Domain Adaptation for NLP. Kyiv, Ukraine: Association for Computational Linguistics. [pdf, code, bib]

White, Aaron Steven, and Kyle Rawlins. 2020. Frequency, Acceptability, and Selection: A Case Study of Clause-Embedding. Glossa 5(1): 105. 1–41. [pdf, code, doi]

White, Aaron Steven, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, and Benjamin Van Durme. 2020. The Universal Decompositional Semantics Dataset and Decomp Toolkit. In Proceedings of The 12th Language Resources and Evaluation Conference, 5698–5707. Marseille, France: European Language Resources Association. [pdf, code + data, bib]

Stengel-Eskin, Elias, Aaron Steven White, Sheng Zhang, and Benjamin Van Durme. 2020. Universal Decompositional Semantic Parsing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 8427–8439. Online: Association for Computational Linguistics. [pdf, doi, bib]

Gantt, William, Benjamin Kane, and Aaron Steven White. 2020. Natural Language Inference with Mixed Effects. In Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics (*SEM 2020), 81–87. Online: Association for Computational Linguistics. [pdf, code, bib]

Vashishtha, Siddharth, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, and 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. [pdf, data + code, bib]

An, Hannah Youngeun, and Aaron Steven White. 2020. The Lexical and Grammatical Sources of Neg-Raising Inferences. In Proceedings of the Society for Computation in Linguistics 3: 220–233. [pdf, data, doi, bib]

Moon, Ellise, and Aaron Steven White. 2020. The Source of Nonfinite Temporal Interpretation. In Proceedings of the 50th Annual Meeting of the North East Linguistic Society, 11-24. Amherst, MA: GLSA Publications. [pdf (preprint), data]

Chen, Yunmo, Tongfei Chen, Seth Ebner, Aaron Steven White, and Benjamin Van Durme. 2020. Reading the Manual: Event Extraction as Definition Comprehension. In Proceedings of the EMNLP 2020 Workshop on Structured Prediction for NLP, 74–83. Online: Association for Computational Linguistics. [pdf, bib]

Govindarajan, Venkata, Benjamin Van Durme, and Aaron Steven White. 2019. Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements. Transactions of the Association for Computational Linguistics 7: 501–517. [pdf, data, doi, bib]

Vashishtha, Siddharth, Benjamin Van Durme, and Aaron Steven White. 2019. Fine-Grained Temporal Relation Extraction. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2906–2919. Florence, Italy: Association for Computational Linguistics. [pdf, data, doi, bib]

White, Aaron Steven. 2019. Lexically Triggered Veridicality Inferences. In Handbook of Pragmatics, 22:115–148. John Benjamins Publishing Company. [pdf (preprint), doi]

Yan, Shaorong, and Aaron Steven White. 2019. A Framework for Decoding Event-Related Potentials from Text. In Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 86–92. Minneapolis, Minnesota: Association for Computational Linguistics. [pdf, doi, bib]

Yan, Shaorong, and Aaron Steven White. 2019. Understanding Event Related Potentials during Reading Using Pre-Compiled Abstractive Decoders. [pdf, doi]

White, Aaron Steven, Valentine Hacquard, and Jeffrey Lidz. 2018. Semantic Information and the Syntax of Propositional Attitude Verbs. Cognitive Science 42 (2): 416–456. [pdf, data, doi]

White, Aaron Steven, Valentine Hacquard, and Jeffrey Lidz. 2018. The Labeling Problem in Syntactic Bootstrapping: Main Clause Syntax in the Acquisition of Propositional Attitude Verbs. In Semantics in Acquisition, edited by Kristen Syrett and Sudha Arunachalam, 198–220. Trends in Language Acquisition Research (TiLAR) 24. John Benjamins Publishing Company. [pdf (preprint), code, doi]

Poliak, Adam, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, and 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. [pdf, data, doi, bib]

Rudinger, Rachel, Aaron Steven White, and 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. [pdf, data, doi, bib]

White, Aaron Steven, Rachel Rudinger, Kyle Rawlins, and 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. [pdf, data, doi, bib]

White, Aaron Steven, and Kyle Rawlins. 2018. The Role of Veridicality and Factivity in Clause Selection. In Proceedings of the 48th Annual Meeting of the North East Linguistic Society, edited by Sherry Hucklebridge and Max Nelson, 221–234. Amherst, MA: GLSA Publications. [pdf (preprint), data]

White, Aaron Steven, and Kyle Rawlins. 2018. Question Agnosticism and Change of State. In Proceedings of Sinn Und Bedeutung 21, edited by Robert Truswell, Chris Cummins, Caroline Heycock, Brian Rabern, and Hannah Rohde, 1325–1342. University of Edinburgh. [pdf]

Lidz, Jeffrey, Aaron Steven White, and Rebecca Baier. 2017. The Role of Incremental Parsing in Syntactically Conditioned Word Learning. Cognitive Psychology 97: 62–78. [pdf (preprint), doi]

White, Aaron Steven, Pushpendre Rastogi, Kevin Duh, and 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. [pdf, data, bib]

White, Aaron Steven, Kyle Rawlins, and 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. [pdf, code, bib]

Fetters, Michael, and Aaron Steven White. 2017. Pseudogapping Does Not Involve Heavy Shift. In Proceedings of the 34th West Coast Conference on Formal Linguistics, edited by Aaron Kaplan, Abby Kaplan, Miranda K. McCarvel, and Edward J. Rubin, 205–213. Somerville, MA: Cascadilla Proceedings Project. [pdf]

White, Aaron Steven, Dee Ann Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, and 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. [pdf, data, doi]

White, Aaron Steven, and Kyle Rawlins. 2016. A Computational Model of S-Selection. Edited by Mary Moroney, Carol-Rose Little, Jacob Collard, and Dan Burgdorf. Semantics and Linguistic Theory 26: 641–663. [pdf, data, doi]

White, Aaron Steven, Philip Resnik, Valentine Hacquard, and Jeffrey Lidz. 2016. The Contextual Modulation of Semantic Information. [pdf, data]

White, Aaron Steven. 2016. The Interaction of Implicativity with the Form and Scope of Negation. [pdf, data]

White, Aaron Steven. 2015. Information and Incrementality in Syntactic Bootstrapping. PhD Thesis, College Park, MD: University of Maryland. [pdf, doi]

Altshuler, Daniel Gordon, Valentine Hacquard, Thomas Roberts, and Aaron Steven White. 2015. On Double Access, Cessation and Parentheticality. Edited by Sarah D’Antonio, Mary Moroney, and Carol Rose Little. Semantics and Linguistic Theory 25: 18–37. [pdf, doi]

White, Aaron Steven. 2014. Factive-Implicatives and Modalized Complements. In Proceedings of the 44th Annual Meeting of the North East Linguistic Society, edited by Jyoti Iyer and Leland Kusmer, 2:267–278. Amherst, MA: GLSA Publications. [pdf (preprint)]

White, Aaron Steven, and Thomas Grano. 2014. An Experimental Investigation of Partial Control. In Proceedings of Sinn Und Bedeutung, edited by U. Etxeberria, A. Falaus, A. Irurtzun, and B. Leferman, 18:469–486. [pdf, data]

White, Aaron Steven, Rachel Dudley, Valentine Hacquard, and Jeffrey Lidz. 2014. Discovering Classes of Attitude Verbs Using Subcategorization Frame Distributions. In Proceedings of the 43rd Annual Meeting of the North East Linguistic Society, edited by Hsin-Lun Huang, Ethan Poole, and Amanda Rysling, 2:249–260. Amherst, MA: GLSA Publications. [pdf (preprint), data]