Aaron Steven White

54 papers A* 5A 1B 1Journal 32Unranked 15

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Cross-Document Event-Keyed Summarization. CoRR William Walden, Pavlo Kuchmiichuk, Alexander Martin, Chihsheng Jin, Angela Cao, Claire Sun, Curisia Allen, Aaron Steven White
2024	—	`conf`	Event-Keyed Summarization. EMNLP (Findings) William Gantt, Alexander Martin, Pavlo Kuchmiichuk, Aaron Steven White
2024	J	`jnl`	Event-Keyed Summarization. CoRR William Gantt, Alexander Martin, Pavlo Kuchmiichuk, Aaron Steven White
2024	—	`conf`	FAMuS: Frames Across Multiple Sources. NAACL-HLT Siddharth Vashishtha, Alexander Martin, William Gantt, Benjamin Van Durme, Aaron Steven White
2024	J	`jnl`	Generating event descriptions under syntactic and semantic constraints. CoRR Angela Cao, Faye Holt, Jonas Chan, Stephanie Richter, Lelia Glass, Aaron Steven White
2024	—	`conf`	MultiMUC: Multilingual Template Filling on MUC-4. EACL (1) William Gantt, Shabnam Behzad, Hannah Youngeun An, Yunmo Chen, Aaron Steven White, Benjamin Van Durme, Mahsa Yarmohammadi
2024	J	`jnl`	MultiMUC: Multilingual Template Filling on MUC-4. CoRR William Gantt, Shabnam Behzad, Hannah Youngeun An, Yunmo Chen, Aaron Steven White, Benjamin Van Durme, Mahsa Yarmohammadi
2024	J	`jnl`	Small Models Are (Still) Effective Cross-Domain Argument Extractors. CoRR William Gantt, Aaron Steven White
2023	A*	`conf`	A Unified View of Evaluation Metrics for Structured Prediction. EMNLP Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme
2023	J	`jnl`	A Unified View of Evaluation Metrics for Structured Prediction. CoRR Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme
2023	J	`jnl`	FAMuS: Frames Across Multiple Sources. CoRR Siddharth Vashishtha, Alexander Martin, William Gantt, Benjamin Van Durme, Aaron Steven White
2023	A	`conf`	Iterative Document-level Information Extraction via Imitation Learning. EACL Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme
2023	J	`jnl`	MegaWika: Millions of reports and their sources across 50 diverse languages. CoRR Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan L. Boyd-Graber, Benjamin Van Durme
2023	—	`conf`	On Event Individuation for Document-Level Information Extraction. EMNLP (Findings) William Gantt, Reno Kriz, Yunmo Chen, Siddharth Vashishtha, Aaron Steven White
2022	J	`jnl`	Decomposing and Recomposing Event Structure. Trans. Assoc. Comput. Linguistics William Gantt, Lelia Glass, Aaron Steven White
2022	J	`jnl`	Iterative Document-level Information Extraction via Imitation Learning. CoRR Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme
2022	J	`jnl`	On Event Individuation for Document-Level Information Extraction. CoRR William Gantt, Reno Kriz, Yunmo Chen, Siddharth Vashishtha, Aaron Steven White
2021	J	`jnl`	Decomposing and Recomposing Event Structure. CoRR William Gantt, Lelia Glass, Aaron Steven White
2021	—	`conf`	Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. EMNLP (1) Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, JiaLiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme
2021	J	`jnl`	Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. CoRR Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, JiaLiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme
2021	J	`jnl`	Gradual Fine-Tuning for Low-Resource Domain Adaptation. CoRR Haoran Xu, Seth Ebner, Mahsa Yarmohammadi, Aaron Steven White, Benjamin Van Durme, Kenton W. Murray
2021	J	`jnl`	Joint Universal Syntactic and Semantic Parsing. CoRR Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme
2021	J	`jnl`	Joint Universal Syntactic and Semantic Parsing. Trans. Assoc. Comput. Linguistics Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme
2021	—	`conf`	LOME: Large Ontology Multilingual Extraction. EACL (System Demonstrations) Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme
2021	J	`jnl`	LOME: Large Ontology Multilingual Extraction. CoRR Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme
2020	J	`jnl`	Frequency, Acceptability, and Selection: A case study of clause-embedding. CoRR Aaron Steven White, Kyle Rawlins
2020	J	`jnl`	Montague Grammar Induction. CoRR Gene Louis Kim, Aaron Steven White
2020	—	`conf`	Natural Language Inference with Mixed Effects. *SEM@COLING William Gantt, Benjamin Kane, Aaron Steven White
2020	J	`jnl`	Natural Language Inference with Mixed Effects. CoRR William Gantt, Benjamin Kane, Aaron Steven White
2020	—	`conf`	Reading the Manual: Event Extraction as Definition Comprehension. SPNLP@EMNLP Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, Benjamin Van Durme
2020	—	`conf`	Temporal Reasoning in Natural Language Inference. EMNLP (Findings) Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, Aaron Steven White
2020	B	`conf`	The Universal Decompositional Semantics Dataset and Decomp Toolkit. LREC Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
2020	A*	`conf`	Universal Decompositional Semantic Parsing. ACL Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme
2019	J	`jnl`	A Framework for Decoding Event-Related Potentials from Text. CoRR Shaorong Yan, Aaron Steven White
2019	J	`jnl`	Decomposing Generalization: Models of Generic, Habitual and Episodic Statements. Trans. Assoc. Comput. Linguistics Venkata Subrahmanyan Govindarajan, Benjamin Van Durme, Aaron Steven White
2019	J	`jnl`	Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements. CoRR Venkata Subrahmanyan Govindarajan, Benjamin Van Durme, Aaron Steven White
2019	—	`conf`	Fine-Grained Temporal Relation Extraction. ACL (1) Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White
2019	J	`jnl`	Fine-Grained Temporal Relation Extraction. CoRR Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White
2019	—	`conf`	NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. TAC Yunmo Chen, Seth Ebner, Tongfei Chen, Patrick Xia, Elias Stengel-Eskin, Tzu-Ray Su, J. Edward Hu, Nils Holzenberger, Ryan Culkin, Craig Harman, Max Thomas, Thomas Lippincott, Aaron Steven White, Kyle Rawlins, Benjamin Van Durme
2019	J	`jnl`	The Universal Decompositional Semantics Dataset and Decomp Toolkit. CoRR Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
2019	J	`jnl`	The lexical and grammatical sources of neg-raising inferences. CoRR Hannah Youngeun An, Aaron Steven White
2019	J	`jnl`	Transductive Parsing for Universal Decompositional Semantics. CoRR Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme
2018	A*	`conf`	Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. EMNLP Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme
2018	—	`conf`	Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. BlackboxNLP@EMNLP Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme
2018	J	`jnl`	Lexicosyntactic Inference in Neural Models. CoRR Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
2018	A*	`conf`	Lexicosyntactic inference in neural models. EMNLP Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
2018	—	`conf`	Neural Models of Factuality. NAACL-HLT Rachel Rudinger, Aaron Steven White, Benjamin Van Durme
2018	J	`jnl`	Neural models of factuality. CoRR Rachel Rudinger, Aaron Steven White, Benjamin Van Durme
2018	J	`jnl`	Semantic Information and the Syntax of Propositional Attitude Verbs. Cogn. Sci. Aaron Steven White, Valentine Hacquard, Jeffrey Lidz
2018	J	`jnl`	Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. CoRR Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme
2017	—	`conf`	Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework. IJCNLP(1) Aaron Steven White, Pushpendre Rastogi, Kevin Duh, Benjamin Van Durme
2017	—	`conf`	The Semantic Proto-Role Linking Model. EACL (2) Aaron Steven White, Kyle Rawlins, Benjamin Van Durme
2016	J	`jnl`	Computational linking theory. CoRR Aaron Steven White, Dee Ann Reisinger, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
2016	A*	`conf`	Universal Decompositional Semantics on Universal Dependencies. EMNLP Aaron Steven White, Dee Ann Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme