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Event temporal reasoning aims at identifying the temporal relations between two or more events from narratives.
Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
A preferential, pattern-seeking, semantics for natural language inference
Yorick Wilks. 1975 · 1975
Earlier work this paper cites.
Scripts, plans, goals and understanding: An inquiry into human knowledge structures
Roger C Schank and Robert P Abelson. 1977 · 1977
Earlier work this paper cites.
Empirical methods for artificial intelligence , volume 139
Paul R Cohen. 1995 · 1995
Earlier work this paper cites.
Dimensions of situation model construction in narrative comprehension
Rolf A Zwaan, Joseph P Magliano, and Arthur C Graesser. 1995 · 1995
Earlier work this paper cites.
Event structure in perception and conception
Jeffrey M Zacks and Barbara Tversky. 2001 · 2001
Earlier work this paper cites.
Training products of experts by minimizing contrastive divergence
Geoffrey E. Hinton. 2002 · 2002
Earlier work this paper cites.
The timebank corpus
James Pustejovsky, Patrick Hanks, Roser Sauri, Andrew See, Robert Gaizauskas, Andrea Setzer, Dragomir Radev, Beth Sundheim, David Day, Lisa Ferro, et al. 2003 · 2003
Earlier work this paper cites.
Timelines from text: Identification of syntactic temporal relations
Steven Bethard, James H. Martin, and Sara Klingenstein. 2007 · 2007
Earlier work this paper cites.
Classifying temporal relations between events
Nathanael Chambers, Shan Wang, and Dan Jurafsky. 2007 · 2007
Earlier work this paper cites.
Event perception: a mind-brain perspective
Jeffrey M Zacks, Nicole K Speer, Khena M Swallow, Todd S Braver, and Jeremy R Reynolds. 2007 · 2007
Earlier work this paper cites.
RSGT: relational structure guided temporal relation extraction
Jie Zhou, Shenpo Dong, Hongkui Tu, Xiaodong Wang, and Yong Dou. 2022 · 2010
Earlier work this paper cites.
A corpus of general and specific sentences from news
Annie Louis and Ani Nenkova. 2012 · 2012
Earlier work this paper cites.
Reporting bias and knowledge acquisition
Jonathan Gordon and Benjamin Van Durme. 2013 · 2013
Earlier work this paper cites.
Semeval-2013 task 1: Tempeval-3: Evaluating time expressions, events, and temporal relations
Naushad UzZaman, Hector Llorens, Leon Derczynski, James Allen, Marc Verhagen, and James Pustejovsky. 2013 · 2013
Earlier work this paper cites.
Semeval-2017 task 12: Clinical tempeval
Steven Bethard, Guergana Savova, Martha Palmer, and James Pustejovsky. 2017 · 2017
Earlier work this paper cites.
Uncovering the temporal context for video question answering
Linchao Zhu, Zhongwen Xu, Yi Yang, and Alexander G. Hauptmann. 2017 · 2017
Earlier work this paper cites.
Constructing narrative event evolutionary graph for script event prediction
Zhongyang Li, Xiao Ding, and Ting Liu. 2018 · 2018
Earlier work this paper cites.
A multi-axis annotation scheme for event temporal relations
Qiang Ning, Hao Wu, and Dan Roth. 2018 · 2018
Earlier work this paper cites.
Don’t take the easy way out: Ensemble based methods for avoiding known dataset biases
Christopher Clark, Mark Yatskar, and Luke Zettlemoyer. 2019 · 2019
Earlier work this paper cites.
Unlearn dataset bias in natural language inference by fitting the residual
He He, Sheng Zha, and Haohan Wang. 2019 · 2019
Cited alongside, same era.
Tddiscourse: A dataset for discourse-level temporal ordering of events
Aakanksha Naik, Luke Breitfeller, and Carolyn P. Rosé. 2019 · 2019
Cited alongside, same era.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
Cited alongside, same era.
Adversarial filters of dataset biases
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew Peters, Ashish Sabharwal, and Yejin Choi. 2020 · 2020
Cited alongside, same era.
TORQUE: A reading comprehension dataset of temporal ordering questions
Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, and Dan Roth. 2020 · 2020
Cited alongside, same era.
Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2022 · 2022
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Generic temporal reasoning with differential analysis and explanation
Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, and Dan Roth. 2022 · 2022
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A systematic study of bias amplification
Melissa Hall, Laurens van der Maaten, Laura Gustafson, and Aaron Adcock. 2022 · 2022
Later among the works it cites.
Large language models with controllable working memory
Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix Yu, and Sanjiv Kumar. 2022 · 2022
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Do neural language models overcome reporting bias?
Vered Shwartz and Yejin Choi. 2020 · 2020
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Joint constrained learning for event-event relation extraction
Haoyu Wang, Muhao Chen, Hongming Zhang, and Dan Roth. 2020 · 2020
Cited alongside, same era.
Big bird: Transformers for longer sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, and Amr Ahmed. 2020 · 2020
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On the dangers of stochastic parrots: Can language models be too big?
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
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ESTER: A machine reading comprehension dataset for reasoning about event semantic relations
Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, and Nanyun Peng. 2021 · 2021
Cited alongside, same era.
The future is not one-dimensional: Complex event schema induction by graph modeling for event prediction
Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, and Clare Voss. 2021 · 2021
Cited alongside, same era.
Entity-based knowledge conflicts in question answering
Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, and Sameer Singh. 2021 · 2021
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Should we rely on entity mentions for relation extraction? debiasing relation extraction with counterfactual analysis
Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, and Bryan Hooi. 2022a · 2022
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Subeventwriter: Iterative sub-event sequence generation with coherence controller
Zhaowei Wang, Hongming Zhang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, and Simon See. 2022b · 2022
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Does your model classify entities reasonably? diagnosing and mitigating spurious correlations in entity typing
Nan Xu, Fei Wang, Bangzheng Li, Mingtao Dong, and Muhao Chen. 2022 · 2022
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Extracting temporal event relation with syntax-guided graph transformer
Shuaicheng Zhang, Qiang Ning, and Lifu Huang. 2022 · 2022
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Ning Bian, Xianpei Han, Le Sun, Hongyu Lin, Yaojie Lu, and Ben He. 2023 · 2023
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Chatgpt evaluation on sentence level relations: A focus on temporal, causal, and discourse relations
Chunkit Chan, Jiayang Cheng, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, and Yangqiu Song. 2023 · 2023
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Martin Josifoski, Marija Sakota, Maxime Peyrard, and Robert West. 2023 · 2023
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A short survey of viewing large language models in legal aspect
Zhongxiang Sun. 2023 · 2023
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A causal view of entity bias in (large) language models
Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, and Muhao Chen. 2023a · 2023
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Extracting or guessing? improving faithfulness of event temporal relation extraction
Haoyu Wang, Hongming Zhang, Yuqian Deng, Jacob R. Gardner, Dan Roth, and Muhao Chen. 2023b · 2023
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COLA: contextualized commonsense causal reasoning from the causal inference perspective
Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, and Simon See. 2023c · 2023
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Zero-shot temporal relation extraction with chatgpt
Chenhan Yuan, Qianqian Xie, and Sophia Ananiadou. 2023 · 2023
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Aligning instruction tasks unlocks large language models as zero-shot relation extractors
Kai Zhang, Bernal Jiménez Gutiérrez, and Yu Su. 2023 · 2023
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Context-faithful prompting for large language models
Wenxuan Zhou, Sheng Zhang, Hoifung Poon, and Muhao Chen. 2023 · 2023
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: Visualizing and understanding commonsense reasoning capabilities of natural language models
Xingbo Wang, Renfei Huang, Zhihua Jin, Tianqing Fang, and Huamin Qu. 2024 · 2024
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