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Data Sets: Word Embeddings Learned from Tweets and General Data., , , and . CoRR, (2017)An End-to-End Tool for News Processing and Semantic Search., , and . WWW (Companion Volume), page 139-142. ACM / IW3C2, (2020)Learning by Examples: Identifying Key Concepts from Text Using Pre-Defined Inputs., , , and . IC-AI, page 826-832. CSREA Press, (2005)Identifying important concepts from medical documents., and . J. Biomed. Informatics, 39 (6): 668-679 (2006)CNewsTS - A Large-scale Chinese News Dataset with Hierarchical Topic Category and Summary., , and . CIKM, page 4193-4198. ACM, (2022)eventAI at SemEval-2019 Task 7: Rumor Detection on Social Media by Exploiting Content, User Credibility and Propagation Information., , and . SemEval@NAACL-HLT, page 855-859. Association for Computational Linguistics, (2019)NAI-SEA at SemEval-2018 Task 5: An Event Search System., , and . SemEval@NAACL-HLT, page 674-678. Association for Computational Linguistics, (2018)Court Opinion Generation from Case Fact Description with Legal Basis., and . AAAI, page 14840-14848. AAAI Press, (2021)Twitter Event Summarization by Exploiting Semantic Terms and Graph Network., and . AAAI, page 15347-15354. AAAI Press, (2021)KIP: A Keyphrase Identification Program with Learning Functions., , , and . ITCC (2), page 450-454. IEEE Computer Society, (2004)isbn: 0-7695-2108-8.