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

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

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Ding Ding

Ding Ding

Haibo Zhao

Hans Haiböck

Philip Haiböck

 

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How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering., , , и . Trans. Assoc. Comput. Linguistics, (2021)Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer., , , , , , и . EMNLP, стр. 2336-2349. Association for Computational Linguistics, (2022)Extracting Information about Medication Use from Veterinary Discussions., и . HLT-NAACL, стр. 1452-1458. The Association for Computational Linguistics, (2015)Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition., , , и . ACL/IJCNLP (2), стр. 735-742. Association for Computational Linguistics, (2021)Why Is an Event Affective? Classifying Affective Events Based on Human Needs., , и . AAAI Workshops, том WS-18 из AAAI Technical Report, стр. 8-15. AAAI Press, (2018)X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models., , , , и . EMNLP (1), стр. 5943-5959. Association for Computational Linguistics, (2020)Weakly Supervised Named Entity Tagging with Learnable Logical Rules., , , , и . ACL/IJCNLP (1), стр. 4568-4581. Association for Computational Linguistics, (2021)Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering., , , и . COLING, стр. 1765-1775. International Committee on Computational Linguistics, (2022)Improving Human Needs Categorization of Events with Semantic Classification., , и . *SEM@NAACL-HLT, стр. 198-204. Association for Computational Linguistics, (2019)Learning to Classify Human Needs of Events from Category Definitions with Prototypical Instantiation., и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 4698-4704. Association for Computational Linguistics, (2020)