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Boosting Precision and Recall of Hyponymy Relation Acquisition from Hierarchical Layouts in Wikipedia.

, , and . LREC, European Language Resources Association, (2008)

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TKDDI group at NTCIR10-RITE2: Recognizing Texual Entailment Based on Dependency Structure Alignment., , , , and . NTCIR, National Institute of Informatics (NII), (2013)Boosting Precision and Recall of Hyponymy Relation Acquisition from Hierarchical Layouts in Wikipedia., , and . LREC, European Language Resources Association, (2008)Statement map: assisting information crediblity analysis by visualizing arguments., , , , , , and . WICOW, page 43-50. ACM, (2009)Subtopic segmentation in the lecture speech., , , and . INTERSPEECH, page 1821-1824. ISCA, (2004)TORISHIKI-KAI, An Autogenerated Web Search Directory., , , , , , and . ISUC, page 179-186. IEEE Computer Society, (2008)Hacking Wikipedia for Hyponymy Relation Acquisition., and . IJCNLP, page 883-888. The Association for Computer Linguistics, (2008)Subtopic segmentation in lecture speech for the creation of lecture video contents., , , and . Syst. Comput. Jpn., 37 (10): 13-21 (2006)Mining personal experiences and opinions from Web documents., , , , , , , , and . Web Intell. Agent Syst., 9 (2): 109-121 (2011)Statement Map: Assisting Information Credibility Analysis by Visualizing Arguments, , , , , , and . 3rd Workshop on Information Credibility on the Web, (2008)Experience Mining: Building a Large-Scale Database of Personal Experiences and Opinions from Web Documents., , , , , , , , and . Web Intelligence, page 314-321. IEEE Computer Society, (2008)