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UTD: Classifying Semantic Relations by Combining Lexical and Semantic Resources.

, and . SemEval@ACL, page 256-259. The Association for Computer Linguistics, (2010)

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A flexible framework for recognizing events, temporal expressions, and temporal relations in clinical text., , and . J. Am. Medical Informatics Assoc., 20 (5): 867-875 (2013)UTD: Determining Relational Similarity Using Lexical Patterns., and . SemEval@NAACL-HLT, page 413-418. The Association for Computer Linguistics, (2012)Learning Textual Graph Patterns to Detect Causal Event Relations., , and . FLAIRS, AAAI Press, (2010)Cross-lingual Semantic Generalization for the Detection of Metaphor., , and . Int. J. Comput. Linguistics Appl., 6 (2): 117-140 (2015)A Tiered Approach to the Recognition of Metaphor., , , and . CICLing (1), volume 8403 of Lecture Notes in Computer Science, page 403-414. Springer, (2014)Introducing the LCC Metaphor Datasets., , , and . LREC, European Language Resources Association (ELRA), (2016)Automatic extraction of relations between medical concepts in clinical texts., , and . J. Am. Medical Informatics Assoc., 18 (5): 594-600 (2011)UTD: Classifying Semantic Relations by Combining Lexical and Semantic Resources., and . SemEval@ACL, page 256-259. The Association for Computer Linguistics, (2010)Question Answering with LCC's CHAUCER at TREC 2006., , , , , and . TREC, volume 500-272 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2006)A Novel Distributional Approach to Multilingual Conceptual Metaphor Recognition., , , and . COLING, page 1752-1763. ACL, (2014)