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Cost-sensitive Regularization for Label Confusion-aware Event Detection.

, , , and . ACL (1), page 5278-5283. Association for Computational Linguistics, (2019)

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ECO v1: Towards Event-Centric Opinion Mining., , , , , , , and . ACL (Findings), page 2743-2753. Association for Computational Linguistics, (2022)Few-shot Named Entity Recognition with Self-describing Networks., , , , and . ACL (1), page 5711-5722. Association for Computational Linguistics, (2022)Pre-training to Match for Unified Low-shot Relation Extraction., , , , and . ACL (1), page 5785-5795. Association for Computational Linguistics, (2022)Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning., , , and . ACL (1), page 4366-4376. Association for Computational Linguistics, (2019)Learning to Mine Query Subtopics from Query Log., , and . ACL (2), page 341-345. The Association for Computer Linguistics, (2015)Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases., , , , , , , and . ACL/IJCNLP (1), page 1860-1874. Association for Computational Linguistics, (2021)Large Scale Semantic Relation Discovery: Toward Establishing the Missing Link Between Wikipedia and Semantic Network., , and . CCKS, volume 650 of Communications in Computer and Information Science, page 54-66. Springer, (2016)Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation., , , and . AAAI, page 12574-12582. AAAI Press, (2021)Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA., , , , , , , , , and 15 other author(s). CoRR, (2020)Academically intelligent LLMs are not necessarily socially intelligent., , , , and . CoRR, (2024)