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Answer Type Identification for Question Answering - Supervised Learning of Dependency Graph Patterns from Natural Language Questions.

, , , , , и . JIST, том 9544 из Lecture Notes in Computer Science, стр. 235-251. Springer, (2015)

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IKARUS-Onto: a methodology to develop fuzzy ontologies from crisp ones., , , и . Knowl. Inf. Syst., 32 (3): 667-695 (2012)Answer Type Identification for Question Answering - Supervised Learning of Dependency Graph Patterns from Natural Language Questions., , , , , и . JIST, том 9544 из Lecture Notes in Computer Science, стр. 235-251. Springer, (2015)Exploiting ontological relations for automatic semantic tag recommendation., , , и . I-SEMANTICS, стр. 105-110. ACM, (2011)Modeling, Measuring and Exploiting Concept Drift in the Labour Market Domain., и . SEMANTiCS (Workshops), том 2063 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)Scenario-Driven Selection and Exploitation of Semantic Data for Optimal Named Entity Disambiguation., , и . SWAIE, том 925 из CEUR Workshop Proceedings, стр. 55-66. CEUR-WS.org, (2012)Supporting User Roles in Ontology Fuzzification., , , и . SMAP, стр. 57-61. IEEE Computer Society, (2011)Towards Vagueness-Oriented Quality Assessment of Ontologies., и . SETN, том 8445 из Lecture Notes in Computer Science, стр. 448-453. Springer, (2014)Towards Learning Personalized Semantic Relevance Paths in Dialogue Systems., и . SMAP, стр. 61-66. IEEE, (2013)Creating domain-specific semantic lexicons for aspect-based sentiment analysis., и . SMAP, стр. 1-6. IEEE Computer Society, (2015)A Metaontology for Annotating Ontology Entities with Vagueness Descriptions., , , , и . URSW (LNCS Vol.), том 8816 из Lecture Notes in Computer Science, стр. 100-121. Springer, (2014)