UvA-DARE ( Digital Academic Repository ) Using WordNet to measure semantic orientations of adjectives

Current WordNet-based measures of distance or similarity focus almost exclusively on WordNet’s taxonomic relations. This effectively restricts their applicability to the syntactic categories of noun and verb. We investigate a graph-theoretic model of WordNet’s most important relation—synonymy—and propose measures that determine the semantic orientation of adjectives for three factors of subjective meaning. Evaluation against human judgments shows the effectiveness of the resulting measures.

[1]  Graeme Hirst,et al.  Lexical chains as representations of context for the detection and correction of malapropisms , 1995 .

[2]  Roy Rada,et al.  Development and application of a metric on semantic nets , 1989, IEEE Trans. Syst. Man Cybern..

[3]  A. Rbnyi.  ON THE EVOLUTION OF RANDOM GRAPHS , 2001 .

[4]  Ted Dunning,et al.  Accurate Methods for the Statistics of Surprise and Coincidence , 1993, CL.

[5]  Janyce Wiebe,et al.  Effects of Adjective Orientation and Gradability on Sentence Subjectivity , 2000, COLING.

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

[7]  Martin Chodorow,et al.  Combining local context and wordnet similarity for word sense identification , 1998 .

[8]  W. T. Gowers,et al.  RANDOM GRAPHS (Wiley Interscience Series in Discrete Mathematics and Optimization) , 2001 .

[9]  Frank Harary,et al.  Graph Theory , 2016 .

[10]  P. Erdos,et al.  On the evolution of random graphs , 1984 .

[11]  Fan Chung Graham,et al.  A Random Graph Model for Power Law Graphs , 2001, Exp. Math..

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

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

[14]  P. J. Stone.  Thematic text analysis: new agendas for analyzing text content , 1997 .

[15]  Philip Resnik,et al.  Using Information Content to Evaluate Semantic Similarity in a Taxonomy , 1995, IJCAI.

[16]  Christiane Fellbaum,et al.  Combining Local Context and Wordnet Similarity for Word Sense Identification , 1998 .

[17]  Peter D. Turney.  Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL , 2001, ECML.

[18]  Graeme Hirst,et al.  Lexical Cohesion Computed by Thesaural relations as an indicator of the structure of text , 1991, CL.

[19]  Graeme Hirst,et al.  Semantic distance in WordNet: An experimental, application-oriented evaluation of five measures , 2004 .

[20]  Kenneth E. Harper,et al.  Measurement of Similarity Between Nouns , 1965, COLING.

[21]  Hinrich Schütze,et al.  Book Reviews: Foundations of Statistical Natural Language Processing , 1999, CL.

[22]  Dekang Lin,et al.  An Information-Theoretic Definition of Similarity , 1998, ICML.

[23]  G. Miller,et al.  Contextual correlates of semantic similarity , 1991 .

[24]  Frank J. Munger.  Studies in comparative politics , 1967 .

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

[26]  H. Chertkow,et al.  Semantic memory , 2002, Current neurology and neuroscience reports.

[27]  Christiane Fellbaum,et al.  Lexical Chains as Representations of Context for the Detection and Correction of Malapropisms , 1998 .

[28]  George A. Miller,et al.  Introduction to WordNet: An On-line Lexical Database , 1990 .

[29]  Philip Resnik,et al.  Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language , 1999, J. Artif. Intell. Res..

[30]  Svante Janson,et al.  Random graphs , 2000, ZOR Methods Model. Oper. Res..

[31]  Graeme Hirst,et al.  Near-Synonymy and Lexical Choice , 2002, CL.

[32]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[33]  B. Bollobás.  The evolution of random graphs , 1984 .

[34]  Marti A. Hearst.  Direction-based text interpretation as an information access refinement , 1992 .

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

[36]  M R Quillian,et al.  Word concepts: a theory and simulation of some basic semantic capabilities. , 1967, Behavioral science.

[37]  Sharon L. Milgram,et al.  The Small World Problem , 1967 .

[38]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[39]  Peter D. Turney.  Thumbs Up, Thumbs Down , 2013, Journal of Cell Science.