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ORCIDAaron Steven White
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2020 – today
- 2024
[c21]William Gantt, Shabnam Behzad, Hannah Youngeun An, Yunmo Chen, Aaron Steven White, Benjamin Van Durme, Mahsa Yarmohammadi:
MultiMUC: Multilingual Template Filling on MUC-4. EACL (1) 2024: 349-368- [c20]William Gantt, Alexander Martin, Pavlo Kuchmiichuk, Aaron Steven White:
Event-Keyed Summarization. EMNLP (Findings) 2024: 7333-7345 - [c19]Siddharth Vashishtha, Alexander Martin, William Gantt, Benjamin Van Durme, Aaron Steven White:
FAMuS: Frames Across Multiple Sources. NAACL-HLT 2024: 8250-8273 - [i27]William Gantt, Shabnam Behzad, Hannah Youngeun An, Yunmo Chen, Aaron Steven White, Benjamin Van Durme, Mahsa Yarmohammadi:
MultiMUC: Multilingual Template Filling on MUC-4. CoRR abs/2401.16209 (2024) - [i26]William Gantt, Alexander Martin, Pavlo Kuchmiichuk, Aaron Steven White:
Event-Keyed Summarization. CoRR abs/2402.06973 (2024) - [i25]William Gantt, Aaron Steven White:
Small Models Are (Still) Effective Cross-Domain Argument Extractors. CoRR abs/2404.08579 (2024) - 2023
- [c18]Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
Iterative Document-level Information Extraction via Imitation Learning. EACL 2023: 1850-1866 - [c17]Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
A Unified View of Evaluation Metrics for Structured Prediction. EMNLP 2023: 12868-12882 - [c16]William Gantt, Reno Kriz, Yunmo Chen, Siddharth Vashishtha, Aaron Steven White:
On Event Individuation for Document-Level Information Extraction. EMNLP (Findings) 2023: 12938-12958 - [i24]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:
MegaWika: Millions of reports and their sources across 50 diverse languages. CoRR abs/2307.07049 (2023) - [i23]Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
A Unified View of Evaluation Metrics for Structured Prediction. CoRR abs/2310.13793 (2023) - [i22]Siddharth Vashishtha, Alexander Martin, William Gantt, Benjamin Van Durme, Aaron Steven White:
FAMuS: Frames Across Multiple Sources. CoRR abs/2311.05601 (2023) - 2022
- [j4]William Gantt, Lelia Glass, Aaron Steven White:
Decomposing and Recomposing Event Structure. Trans. Assoc. Comput. Linguistics 10: 17-34 (2022) - [i21]Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
Iterative Document-level Information Extraction via Imitation Learning. CoRR abs/2210.06600 (2022) - [i20]William Gantt, Reno Kriz, Yunmo Chen, Siddharth Vashishtha, Aaron Steven White:
On Event Individuation for Document-Level Information Extraction. CoRR abs/2212.09702 (2022) - 2021
- [j3]Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme:
Joint Universal Syntactic and Semantic Parsing. Trans. Assoc. Comput. Linguistics 9: 756-773 (2021) - [c15]Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme:
LOME: Large Ontology Multilingual Extraction. EACL (System Demonstrations) 2021: 149-159 - [c14]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:
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. EMNLP (1) 2021: 1950-1967 - [i19]Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme:
LOME: Large Ontology Multilingual Extraction. CoRR abs/2101.12175 (2021) - [i18]Haoran Xu, Seth Ebner, Mahsa Yarmohammadi, Aaron Steven White, Benjamin Van Durme, Kenton W. Murray:
Gradual Fine-Tuning for Low-Resource Domain Adaptation. CoRR abs/2103.02205 (2021) - [i17]William Gantt, Lelia Glass, Aaron Steven White:
Decomposing and Recomposing Event Structure. CoRR abs/2103.10387 (2021) - [i16]Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme:
Joint Universal Syntactic and Semantic Parsing. CoRR abs/2104.05696 (2021) - [i15]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:
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. CoRR abs/2109.06798 (2021) - 2020
- [c13]Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme:
Universal Decompositional Semantic Parsing. ACL 2020: 8427-8439 - [c12]Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, Benjamin Van Durme:
Reading the Manual: Event Extraction as Definition Comprehension. SPNLP@EMNLP 2020: 74-83 - [c11]Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, Aaron Steven White:
Temporal Reasoning in Natural Language Inference. EMNLP (Findings) 2020: 4070-4078 - [c10]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:
The Universal Decompositional Semantics Dataset and Decomp Toolkit. LREC 2020: 5698-5707 - [c9]William Gantt, Benjamin Kane, Aaron Steven White:
Natural Language Inference with Mixed Effects. *SEM@COLING 2020: 81-87 - [i14]Aaron Steven White, Kyle Rawlins:
Frequency, Acceptability, and Selection: A case study of clause-embedding. CoRR abs/2004.04106 (2020) - [i13]Gene Louis Kim, Aaron Steven White:
Montague Grammar Induction. CoRR abs/2010.08067 (2020) - [i12]William Gantt, Benjamin Kane, Aaron Steven White:
Natural Language Inference with Mixed Effects. CoRR abs/2010.10501 (2020)
2010 – 2019
- 2019
- [j2]Venkata Subrahmanyan Govindarajan, Benjamin Van Durme, Aaron Steven White:
Decomposing Generalization: Models of Generic, Habitual and Episodic Statements. Trans. Assoc. Comput. Linguistics 7: 501-517 (2019) - [c8]Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White:
Fine-Grained Temporal Relation Extraction. ACL (1) 2019: 2906-2919 - [i11]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:
NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. TAC 2019 - [i10]Venkata Subrahmanyan Govindarajan, Benjamin Van Durme, Aaron Steven White:
Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements. CoRR abs/1901.11429 (2019) - [i9]Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White:
Fine-Grained Temporal Relation Extraction. CoRR abs/1902.01390 (2019) - [i8]Shaorong Yan, Aaron Steven White:
A Framework for Decoding Event-Related Potentials from Text. CoRR abs/1902.10296 (2019) - [i7]Hannah Youngeun An, Aaron Steven White:
The lexical and grammatical sources of neg-raising inferences. CoRR abs/1908.05253 (2019) - [i6]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:
The Universal Decompositional Semantics Dataset and Decomp Toolkit. CoRR abs/1909.13851 (2019) - [i5]Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme:
Transductive Parsing for Universal Decompositional Semantics. CoRR abs/1910.10138 (2019) - 2018
- [j1]Aaron Steven White, Valentine Hacquard, Jeffrey Lidz:
Semantic Information and the Syntax of Propositional Attitude Verbs. Cogn. Sci. 42(2): 416-456 (2018) - [c7]Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. EMNLP 2018: 67-81 - [c6]Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. BlackboxNLP@EMNLP 2018: 337-340 - [c5]Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Lexicosyntactic inference in neural models. EMNLP 2018: 4717-4724 - [c4]Rachel Rudinger, Aaron Steven White, Benjamin Van Durme:
Neural Models of Factuality. NAACL-HLT 2018: 731-744 - [i4]Rachel Rudinger, Aaron Steven White, Benjamin Van Durme:
Neural models of factuality. CoRR abs/1804.02472 (2018) - [i3]Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. CoRR abs/1804.08207 (2018) - [i2]Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Lexicosyntactic Inference in Neural Models. CoRR abs/1808.06232 (2018) - 2017
- [c3]Aaron Steven White, Kyle Rawlins, Benjamin Van Durme:
The Semantic Proto-Role Linking Model. EACL (2) 2017: 92-98 - [c2]Aaron Steven White, Pushpendre Rastogi, Kevin Duh, Benjamin Van Durme:
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework. IJCNLP(1) 2017: 996-1005 - 2016
- [c1]Aaron Steven White, Dee Ann Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Universal Decompositional Semantics on Universal Dependencies. EMNLP 2016: 1713-1723 - [i1]Aaron Steven White, Dee Ann Reisinger, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Computational linking theory. CoRR abs/1610.02544 (2016)
Coauthor Index
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