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Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer

, , , , , , and . (2022)cite arxiv:2212.02027Comment: EMNLP 2022.

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Extracting Information about Medication Use from Veterinary Discussions., and . HLT-NAACL, page 1452-1458. The Association for Computational Linguistics, (2015)How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering., , , and . Trans. Assoc. Comput. Linguistics, (2021)Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer., , , , , , and . EMNLP, page 2336-2349. Association for Computational Linguistics, (2022)Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition., , , and . ACL/IJCNLP (2), page 735-742. Association for Computational Linguistics, (2021)Why Is an Event Affective? Classifying Affective Events Based on Human Needs., , and . AAAI Workshops, volume WS-18 of AAAI Technical Report, page 8-15. AAAI Press, (2018)X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models., , , , and . EMNLP (1), page 5943-5959. Association for Computational Linguistics, (2020)Weakly Supervised Named Entity Tagging with Learnable Logical Rules., , , , and . ACL/IJCNLP (1), page 4568-4581. Association for Computational Linguistics, (2021)Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data., and . NAACL-HLT, page 1919-1929. Association for Computational Linguistics, (2018)Improving Human Needs Categorization of Events with Semantic Classification., , and . *SEM@NAACL-HLT, page 198-204. Association for Computational Linguistics, (2019)Learning to Classify Human Needs of Events from Category Definitions with Prototypical Instantiation., and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4698-4704. Association for Computational Linguistics, (2020)