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What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?

, , and . Discovery Science, volume 2843 of Lecture Notes in Computer Science, page 180-193. Springer, (2003)

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What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?, , and . Discovery Science, volume 2843 of Lecture Notes in Computer Science, page 180-193. Springer, (2003)TSUKU Statistical Machine Translation System for the NTCIR-10 PatentMT Task., , , , and . NTCIR, National Institute of Informatics (NII), (2013)Particle behavior analysis in hole-type electrostatic precipitator using PIV., , , and . IAS, page 1-7. IEEE, (2017)Long-distance hierarchical structure transformation rules utilizing function words., , and . IWSLT, page 159-166. ISCA, (2011)Utilizing review analysis to suggest product advertisement improvements., , and . WASSA@EMNLP, page 41-50. The Association for Computer Linguistics, (2015)Joint Embedding of Words and Labels for Sentiment Classification., and . IALP, page 264-269. IEEE, (2020)Latent Variable Models for Causal Knowledge Acquisition., , and . CICLing, volume 4394 of Lecture Notes in Computer Science, page 85-96. Springer, (2007)Extracting Emotional Polarity of Words using Spin Model, , and . Proceedings of the Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining (AM2004), Hanoi, Vietnam, (2004)An Analysis of Japanese Named Entity Recognizer Specialized for Person and Organization Entities., and . IALP, page 184-188. IEEE, (2018)Joint Embedding of Words and Labels for Sentiment Classification., and . Int. J. Asian Lang. Process., 31 (1): 2150005:1-2150005:15 (2021)