Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web

We propose a new semantic orientation, Excitation, and its automatic acquisition method. Excitation is a semantic property of predicates that classifies them into excitatory, inhibitory and neutral. We show that Excitation is useful for extracting contradiction pairs (e.g., destroy cancer b develop cancer) and causality pairs (e.g., increase in crime ⇒ heighten anxiety). Our experiments show that with automatically acquired Excitation knowledge we can extract one million contradiction pairs and 500,000 causality pairs with about 70% precision from a 600 million page Web corpus. Furthermore, by combining these extracted causality and contradiction pairs, we can generate one million plausible causality hypotheses that are not written in any single sentence in our corpus with reasonable precision.

[1]  J. Fleiss.  Measuring nominal scale agreement among many raters. , 1971 .

[2]  Philip J. Stone,et al.  Extracting Information. (Book Reviews: The General Inquirer. A Computer Approach to Content Analysis) , 1967 .

[3]  Kentaro Torisawa.  Automatic Acquisition of Expressions Representing Preparation and Utilization of an Object Kentaro Torisawa Japan , 2005 .

[4]  Daisuke Kawahara,et al.  A Fully-Lexicalized Probabilistic Model for Japanese Syntactic and Case Structure Analysis (Special Issue : "Collection of Best Annual Papers" Organized for the 20th Anniversary of the Association for Natural Language Processing) , 2006 .

[5]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[6]  Vasileios Hatzivassiloglou,et al.  Predicting the Semantic Orientation of Adjectives , 1997, ACL.

[7]  Sabine Bergler,et al.  Semantic Tag Extraction from WordNet Glosses , 2006, LREC.

[8]  Nathanael Chambers,et al.  Unsupervised Learning of Narrative Schemas and their Participants , 2009, ACL.

[9]  Ming Zhou,et al.  Identifying Synonyms among Distributionally Similar Words , 2003, IJCAI.

[10]  Christopher D. Manning,et al.  Finding Contradictions in Text , 2008, ACL.

[11]  Takashi Inui,et al.  Extracting Semantic Orientations of Words using Spin Model , 2005, ACL.

[12]  Sadao Kurohashi,et al.  Acquiring Strongly-related Events using Predicate-argument Co-occurring Statistics and Case Frames , 2011, IJCNLP.

[13]  Kentaro Inui,et al.  Organizing information on the Web to support user judgments on information credibility , 2010, 2010 4th International Universal Communication Symposium.

[14]  Jong-Hoon Oh,et al.  Why Question Answering using Sentiment Analysis and Word Classes , 2012, EMNLP.

[15]  Sasha Blair-Goldensohn,et al.  The viability of web-derived polarity lexicons , 2010, NAACL.

[16]  Peter D. Turney.  Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews , 2002, ACL.

[17]  Delip Rao,et al.  Semi-Supervised Polarity Lexicon Induction , 2009, EACL.

[18]  James Pustejovsky,et al.  The Generative Lexicon , 1995, CL.

[19]  Sanda M. Harabagiu,et al.  Negation, Contrast and Contradiction in Text Processing , 2006, AAAI.

[20]  Yasunori Kakizawa,et al.  Organizing the Web's Information Explosion to Discover Unknown Unknowns , 2010, New Generation Computing.

[21]  Roxana Gîrju,et al.  Automatic Detection of Causal Relations for Question Answering , 2003, ACL 2003.

[22]  Kentaro Torisawa.  Acquiring Inference Rules with Temporal Constraints by Using Japanese Coordinated Sentences and Noun-Verb Co-occurrences , 2006, HLT-NAACL.

[23]  Marshall S. Smith,et al.  The general inquirer: A computer approach to content analysis. , 1967 .

[24]  Hayato Ohwada,et al.  Toward Finding Semantic Relations not Written in a Single Sentence: An Inference Method using Auto-Discovered Rules , 2011, IJCNLP.

[25]  J. M. Kittross.  The measurement of meaning , 1959 .

[26]  Peter D. Turney.  A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations , 2008, COLING.

[27]  Daisuke Kawahara,et al.  A Fully-Lexicalized Probabilistic Model for Japanese Syntactic and Case Structure Analysis , 2006, HLT-NAACL.

[28]  Ellen M. Voorhees,et al.  Contradictions and Justifications: Extensions to the Textual Entailment Task , 2008, ACL.

[29]  Yuji Matsumoto,et al.  Two-Phased Event Relation Acquisition: Coupling the Relation-Oriented and Argument-Oriented Approaches , 2008, COLING.

[30]  Graeme Hirst,et al.  Computing Word-Pair Antonymy , 2008, EMNLP.

[31]  Dan Roth,et al.  Minimally Supervised Event Causality Identification , 2011, EMNLP.

[32]  Dekang Lin,et al.  Automatic Retrieval and Clustering of Similar Words , 1998, ACL.