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bunji at SemEval-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility Features., , , , , , and . SemEval@ACL, page 353-359. Association for Computational Linguistics, (2017)Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes., , and . SemEval@ACL, page 1005-1009. Association for Computational Linguistics, (2017)The Effect of Document Clustering in Interactive Relecance Feedback., , , , , , , and . NTCIR, National Institute of Informatics (NII), (2001)A Measure of Term Representativeness Based on the Number of Co-occurring Salient Words., and . COLING, (2002)Optimizing Apache cTAKES for Disease/Disorder Template Filling: Team HITACHI in the ShARe/CLEF 2014 eHealth Evaluation Lab., , and . CLEF (Working Notes), volume 1180 of CEUR Workshop Proceedings, page 111-123. CEUR-WS.org, (2014)StruAP: A Tool for Bundling Linguistic Trees through Structure-based Abstract Pattern., , , , , and . EMNLP (System Demonstrations), page 31-36. Association for Computational Linguistics, (2017)Hitachi at SemEval-2016 Task 12: A Hybrid Approach for Temporal Information Extraction from Clinical Notes., , and . SemEval@NAACL-HLT, page 1231-1236. The Association for Computer Linguistics, (2016)bunji at SemEval-2016 Task 5: Neural and Syntactic Models of Entity-Attribute Relationship for Aspect-based Sentiment Analysis., , , , and . SemEval@NAACL-HLT, page 289-295. The Association for Computer Linguistics, (2016)Neural Attention Model for Classification of Sentences that Support Promoting/Suppressing Relationship., , , , and . ArgMining@ACL, The Association for Computer Linguistics, (2016)Term Extraction Using A New Measure of Term Representativeness., , , , , , and . NTCIR, National Center for Science Information Systems (NACSIS), (1999)