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Why-Question Answering using Intra- and Inter-Sentential Causal Relations.

, , , , , and . ACL (1), page 1733-1743. The Association for Computer Linguistics, (2013)

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Dictionary generation for less-frequent language pairs using WordNet., , and . Lit. Linguistic Comput., Digit. Scholarsh. Humanit., 24 (4): 449-466 (2009)Extending WordNet with Hypernyms and Siblings Acquired from Wikipedia., , , , , , and . IJCNLP, page 874-882. The Association for Computer Linguistics, (2011)Toward Finding Semantic Relations not Written in a Single Sentence: An Inference Method using Auto-Discovered Rules., , , , , , and . IJCNLP, page 902-910. The Association for Computer Linguistics, (2011)Relation Acquisition using Word Classes and Partial Patterns., , , , , , , , and . EMNLP, page 825-835. ACL, (2011)Million-scale Derivation of Semantic Relations from a Manually Constructed Predicate Taxonomy., , , , , and . COLING, page 1423-1434. ACL, (2014)Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features., , , , , , and . ACL (1), page 987-997. The Association for Computer Linguistics, (2014)Japanese Idiom Recognition: Drawing a Line between Literal and Idiomatic Meanings., , and . ACL, The Association for Computer Linguistics, (2006)Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web., , , , and . EMNLP-CoNLL, page 619-630. ACL, (2012)Generating information-rich taxonomy from Wikipedia., , , , , , , and . IUCS, page 97-104. IEEE, (2010)A Large-Scale Web Data Collection as a Natural Language Processing Infrastructure., , , and . LREC, European Language Resources Association, (2008)