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Decomposition of text into atomic propositions is a flexible framework allowing for the closer inspection of input and output text.
A new measure of rank correlation
Maurice G Kendall. 1938 · 1938
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A coefficient of agreement for nominal scales
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Comments on d. davidson’s ‘the logical form of action sentences’
Héctor-Neri Castañeda. 1967 · 1967
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A logic for default reasoning
Raymond Reiter. 1980 · 1980
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Events in the semantics of english: A study in subatomic semantics
Terence Parsons. 1990 · 1990
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Thematic proto-roles and argument selection
David Dowty. 1991 · 1991
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Non-monotonic fuzzy reasoning
Juan Luis Castro, Enric Trillas, and Jose Manuel Zurita. 1998 · 1998
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Evaluating content selection in summarization: The pyramid method
Ani Nenkova and Rebecca Passonneau. 2004 · 2004
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The worst-case time complexity for generating all maximal cliques and computational experiments
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The third pascal recognizing textual entailment challenge
Danilo Giampiccolo, Bernardo Magnini, Ido Dagan, and William B Dolan. 2007 · 2007
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Natural language inference
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Social chemistry 101: Learning to reason about social and moral norms
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A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
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Question-answer driven semantic role labeling: Using natural language to annotate natural language
Luheng He, Mike Lewis, and Luke Zettlemoyer. 2015 · 2015
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Questions under discussion: From sentence to discourse
Anton Benz and Katja Jasinskaja. 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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FEVER: a large-scale dataset for fact extraction and VERification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
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Learning the difference that makes a difference with counterfactually-augmented data
Divyansh Kaushik, Eduard Hovy, and Zachary Lipton. 2019 · 2019
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Atomic: An atlas of machine commonsense for if-then reasoning
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A Smith, and Yejin Choi. 2019 · 2019
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Are natural language inference models IMPPRESsive? Learning IMPlicature and PRESupposition
Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan, and Adina Williams. 2020 · 2020
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Adversarial NLI: A new benchmark for natural language understanding
Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, and Douwe Kiela. 2020 · 2020
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Davidsonian scene graph: Improving reliability in fine-grained evaluation for text-image generation
Jaemin Cho, Yushi Hu, Roopal Garg, Peter Anderson, Ranjay Krishna, Jason Baldridge, Mohit Bansal, Jordi Pont-Tuset, and Su Wang. 2023 · 2023
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WiCE: Real-world entailment for claims in Wikipedia
Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, and Greg Durrett. 2023 · 2023
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Evaluating the logical reasoning ability of chatgpt and gpt-4
Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, Jian Liu, Qiji Zhou, and Yue Zhang. 2023 · 2023
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FActScore: Fine-grained atomic evaluation of factual precision in long form text generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Koh, Mohit Iyyer, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2023 · 2023
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Evaluating paraphrastic robustness in textual entailment models
Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, and Adam Poliak. 2023 · 2023
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Does putting a linguist in the loop improve NLU data collection?
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Complex claim verification with evidence retrieved in the wild
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A closer look at claim decomposition
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Zero-shot fact-checking with semantic triples and knowledge graphs
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Measuring the inconsistency of large language models in preferential ranking
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