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A Dataset for Tracking Entities in Open Domain Procedural Text.

, , , , , , , и . CoRR, (2020)

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Niket Tandon

Raman Tandon

Fataneh Niketeghad

Anastasios Alexandru Niketas

Ashish Tandon

 

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Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback., , , и . NAACL-HLT (Findings), стр. 339-352. Association for Computational Linguistics, (2022)CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization., , , , , , , и . CoRR, (2023)Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text., , , , и . EMNLP/IJCNLP (1), стр. 4495-4504. Association for Computational Linguistics, (2019)A Dataset for Tracking Entities in Open Domain Procedural Text., , , , , , , и . EMNLP (1), стр. 6408-6417. Association for Computational Linguistics, (2020)Reasoning about Actions and State Changes by Injecting Commonsense Knowledge., , , , , и . EMNLP, стр. 57-66. Association for Computational Linguistics, (2018)Multimedia Data for the Visually Impaired., , и . AAAI, стр. 4210-4211. AAAI Press, (2015)Editing Common Sense in Transformers., , , , , , и . EMNLP, стр. 8214-8232. Association for Computational Linguistics, (2023)Using Commonsense Knowledge to Answer Why-Questions., , , , , , и . EMNLP, стр. 1204-1219. Association for Computational Linguistics, (2022)Conditional set generation using Seq2seq models., , , , и . EMNLP, стр. 4874-4896. Association for Computational Linguistics, (2022)WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models., , , , , и . CoRR, (2024)