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273. Task 5. Keyphrase Extraction Based on Core Word Identification and Word Expansion.

, , and . SemEval@ACL, page 142-145. The Association for Computer Linguistics, (2010)

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273. Task 5. Keyphrase Extraction Based on Core Word Identification and Word Expansion., , and . SemEval@ACL, page 142-145. The Association for Computer Linguistics, (2010)Twitter hyperlink recommendation with user-tweet-hyperlink three-way clustering., , , and . CIKM, page 2535-2538. ACM, (2012)Sentence Ordering with Event-Enriched Semantics and Two-Layered Clustering for Multi-Document News Summarization., , and . COLING (Posters), page 1489-1497. Chinese Information Processing Society of China, (2010)Learning features through feedback for blog distillation., , , , and . SIGIR, page 1085-1086. ACM, (2011)What Are Tweeters Doing: Recognizing Speech Acts in Twitter., , and . Analyzing Microtext, volume WS-11-05 of AAAI Technical Report, AAAI, (2011)Efficient Feedback-based Feature Learning for Blog Distillation as a Terabyte Challenge., , and . COLING (Demos), page 147-154. Indian Institute of Technology Bombay, (2012)Simultaneous Clustering and Noise Detection for Theme-based Summarization., , , and . IJCNLP, page 491-499. The Association for Computer Linguistics, (2011)Enhancing diversity and coverage of document summaries through subspace clustering and clustering-based optimization., , and . Inf. Sci., (2014)A Three-Layered Mutually Reinforced Model for Personalized Citation Recommendation., , , , , and . IEEE Trans. Neural Netw. Learning Syst., 29 (12): 6026-6037 (2018)Automatic Twitter Topic Summarization With Speech Acts., , , and . IEEE Trans. Audio, Speech & Language Processing, 21 (3): 649-658 (2013)