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Natural language inference has trended toward studying contexts beyond the sentence level.
Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 1909
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DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lys Debut, re, Julien Chaumond, and Thomas Wolf. 2019 · 1910
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ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
Yuta Koreeda and Christopher D. Manning. 2021 · 1919
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The use of confidence or fiducial limits illustrated in the case of the binomial
Charles J. Clopper and Egon S. Pearson. 1934 · 1934
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Note on the sampling error of the difference between correlated proportions or percentages
Quinn McNemar. 1947 · 1947
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Overview of the trec 2019 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, and Ellen M. Voorhees. 2020 · 2003
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Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
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The pascal recognising textual entailment challenge
I. Dagan, O. Glickman, and B. Magnini. 2005 · 2005
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Natural language processing with Python
Steven Bird, Ewan Klein, and Edward Loper. 2009 · 2009
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The probabilistic relevance framework: BM25 and beyond
Stephen Robertson and Hugo Zaragoza. 2009 · 2009
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Efficient transformers: A survey
Yi Tay, Mostafa Dehghani, Dara Bahri, and Donald Metzler. 2020 · 2009
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Software framework for topic modelling with large corpora
Radim Rehurek and Petr Sojka. 2010 · 2010
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Legal Research
Joshua Poje. 2014 · 2014
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Automatic claim negation: Why, how and when
Yonatan Bilu, Daniel Hershcovich, and Noam Slonim. 2015 · 2015
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Ms marco: A human generated machine reading comprehension dataset
Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, and Tri Nguyen. 2016 · 2016
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Building a Dictionary of Affixal Negations
Chantal van Son, Emiel van Miltenburg, and Roser Morante. 2016 · 2016
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Harvesting and Utilizing Explanatory Parentheticals
Pablo D. Arredondo. 2017 · 2017
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Annotation artifacts in natural language inference data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman, and Noah A. Smith. 2018 · 2018
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Constituency Parsing with a Self-Attentive Encoder
Nikita Kitaev and Dan Klein. 2018 · 2018
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Hypothesis Only Baselines in Natural Language Inference
Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, and Benjamin Van Durme. 2018 · 2018
Cited alongside, same era.
Caselaw Access Project
The President and Fellows of Harvard University. 2018 · 2018
Cited alongside, same era.
Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment
Masatoshi Tsuchiya. 2018 · 2018
Cited alongside, same era.
GLUE: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2018 · 2018
Cited alongside, same era.
A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
Cited alongside, same era.
Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019
A free format legal question answering system
Soha Khazaeli, Janardhana Punuru, Chad Morris, Sanjay Sharma, Bert Staub, Michael Cole, Sunny Chiu-Webster, and Dhruv Sakalley. 2021 · 2021
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BM25 and Transformer-based Legal Information Extraction and Entailment
Mi-Young Kim, Juliano Rabelo, R Goebel, and y. 2021 · 2021
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Natural Language Inference in Context-Investigating Contextual Reasoning over Long Texts
Hanmeng Liu, Leyang Cui, Jian Liu, and Yue Zhang. 2021 · 2021
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AutoLAW: Augmented Legal Reasoning through Legal Precedent Prediction
Robert Zev Mahari. 2021 · 2021
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explosion/spaCy: v3.1.4: Python 3.10 wheels and support for AppleOps
Ines Montani, Matthew Honnibal, Matthew Honnibal, Van L, Sofie eghem, Adriane Boyd, Henning Peters, Paul O’Leary McCann, Maxim Samsonov, Jim Geovedi, Jim O’Regan, György Orosz, Duygu Altinok, Søren Lind Kristiansen, Roman, Explosion Bot, Le Fiedler, er, Grégory Howard, Wannaphong Phatthiyaphaibun, Yohei Tamura, Sam Bozek, Murat, Mark Amery, Björn Böing, Pradeep Kumar Tippa, Leif Uwe Vogelsang, Ramanan Balakrishnan, Vadim Mazaev, GregDubbin, Jeannefukumaru, and Walter Henry. 2021 · 2021
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Cited alongside, same era.
Multilingual Constituency Parsing with Self-Attention and Pre-Training
Nikita Kitaev, Steven Cao, and Dan Klein. 2019 · 2019
Cited alongside, same era.
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 · 2019
Cited alongside, same era.
Westsearch plus: A non-factoid question-answering system for the legal domain
Gayle McElvain, George Sanchez, Sean Matthews, Don Teo, Filippo Pompili, and Tonya Custis. 2019 · 2019
Cited alongside, same era.
LEGAL-BERT: The Muppets straight out of Law School
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, and Ion Androutsopoulos. 2020 · 2020
Cited alongside, same era.
Information Extraction/Entailment of Common Law and Civil Code
John Hudzina, Kanika Madan, Dhivya Chinnappa, Jinane Harmouche, Hiroko Bretz, Andrew Vold, and Frank Schilder. 2020 · 2020
Cited alongside, same era.
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Cited alongside, same era.
Later among the works it cites.
Summary of the Competition on Legal Information Extraction/Entailment (COLIEE) 2021
Juliano Rabelo, R Goebel, y, Yoshinobu Kano, Mi-Young Kim, Masaharu Yoshioka, and Ken Satoh. 2021 · 2021
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The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes
Nils Reimers and Iryna Gurevych. 2021 · 2021
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A Pentapus Grapples with Legal Reasoning
Frank Schilder, Dhivya Chinnappa, Kanika Madan, Jinane Harmouche, Andrew Vold, Hiroko Bretz, and John Hudzina. 2021 · 2021
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Evaluating Gender Bias in Natural Language Inference
Shanya Sharma, Manan Dey, and Koustuv Sinha. 2021 · 2021
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Searching for legal documents at paragraph level: Automating label generation and use of an Extended Attention Mask for boosting neural models of semantic similarity
Li Tang and Simon Clematide. 2021 · 2021
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Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention
Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, and Vikas Singh. 2021 · 2021
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DocNLI: A Large-scale Dataset for Document-level Natural Language Inference
Wenpeng Yin, Dragomir Radev, and Caiming Xiong. 2021 · 2021
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When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset
Lucia Zheng, Neel Guha, Br Anderson, on R., Peter Henderson, and Daniel E. Ho. 2021 · 2021
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Case law retrieval: problems, methods, challenges and evaluations in the last 20 years
Daniel Locke and Guido Zuccon. 2022 · 2022
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Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters
Tal Schuster, Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, and Donald Metzler. 2022 · 2022
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SCROLLS: Standardized CompaRison Over Long Language Sequences
Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, and Jonathan Berant. 2022 · 2022
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Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities
Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, and Doug Downey. 2022 · 2022
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Pattern for Python
Tom De Smedt and Walter Daelemans. 2012 · 2067
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