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Bridging the Gap between Reality and Ideality of Entity Matching: A Revisting and Benchmark Re-Constrcution.

, , , , , , , , и . IJCAI, стр. 3978-3984. ijcai.org, (2022)

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Johannes Han

Luyang Han

Muxin Han

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Bing Han

 

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EUSP: An Easy-to-Use Semantic Parsing PlatForm., , , и . EMNLP/IJCNLP (3), стр. 67-72. Association for Computational Linguistics, (2019)Context-Sensitive Inference Rule Discovery: A Graph-Based Method., и . COLING, стр. 2902-2911. ACL, (2016)ECO v1: Towards Event-Centric Opinion Mining., , , , , , , и . ACL (Findings), стр. 2743-2753. Association for Computational Linguistics, (2022)Pre-training to Match for Unified Low-shot Relation Extraction., , , , и . ACL (1), стр. 5785-5795. Association for Computational Linguistics, (2022)Few-shot Named Entity Recognition with Self-describing Networks., , , , и . ACL (1), стр. 5711-5722. Association for Computational Linguistics, (2022)Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases., , , , , , , и . ACL/IJCNLP (1), стр. 1860-1874. Association for Computational Linguistics, (2021)Learning to Mine Query Subtopics from Query Log., , и . ACL (2), стр. 341-345. The Association for Computer Linguistics, (2015)Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning., , , и . ACL (1), стр. 4366-4376. Association for Computational Linguistics, (2019)Toward Unified Controllable Text Generation via Regular Expression Instruction., , , и . IJCNLP (1), стр. 1-14. Association for Computational Linguistics, (2023)Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models?, , , , и . EMNLP, стр. 2327-2340. Association for Computational Linguistics, (2023)