Maximizing Semantic Relatedness to Perform Word Sense Disambiguation

This article presents a method of word sense disambiguation that assigns a target word the sense that is most related to the senses of its neighboring words. We explore the use of measures of similarity and relatedness that are based on finding paths in a concept network, information content derived from a large corpus, and word sense glosses. We observe that measures of relatedness are useful sources of information for disambiguation, and in particular we find that two gloss based measures that we have developed are particularly flexible and effective measures for word sense disambiguation.

[1]  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..

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

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

[4]  G. Zipf,et al.  The Psycho-Biology of Language , 1936 .

[5]  Ted Pedersen,et al.  An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet , 2002, CICLing.

[6]  Yorick Wilks,et al.  Word Sense Disambiguation using Optimised Combinations of Knowledge Sources , 1998, COLING-ACL.

[7]  Martha Palmer,et al.  Verb Semantics and Lexical Selection , 1994, ACL.

[8]  Louise Guthrie,et al.  Lexical Disambiguation using Simulated Annealing , 1992, HLT.

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

[10]  Ted Pedersen,et al.  Extended Gloss Overlaps as a Measure of Semantic Relatedness , 2003, IJCAI.

[11]  Hideki Kozima,et al.  Similarity between Words Computed by Spreading Activation on an English Dictionary , 1993, EACL.

[12]  Yorick Wilks,et al.  The Interaction of Knowledge Sources in Word Sense Disambiguation , 2001, CL.

[13]  Julio Gonzalo,et al.  The UNED Systems at SENSEVAL-2 , 2001, *SEMEVAL.

[14]  Dekang Lin,et al.  Using Syntactic Dependency as Local Context to Resolve Word Sense Ambiguity , 1997, ACL.

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

[16]  Michael Sussna,et al.  Word sense disambiguation for free-text indexing using a massive semantic network , 1993, CIKM '93.

[17]  Yorick Wilks,et al.  Providing machine tractable dictionary tools , 1990, Machine Translation.

[18]  David W. Conrath,et al.  Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy , 1997, ROCLING/IJCLCLP.

[19]  Philip Resnik.  WordNet and class-based probabilities , 1998 .

[20]  Michael E. Lesk,et al.  Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone , 1986, SIGDOC '86.

[21]  Christiane Fellbaum,et al.  Wordnet and Class-Based Probabilities , 1998 .

[22]  Yoshihiko Nitta,et al.  Co-Occurrence Vectors From Corpora vs. Distance Vectors From Dictionaries , 1994, COLING.

[23]  Ted Pedersen,et al.  Using Measures of Semantic Relatedness for Word Sense Disambiguation , 2003, CICLing.

[24]  Eneko Agirre,et al.  Word Sense Disambiguation using Conceptual Density , 1996, COLING.

[25]  Siddharth Patwardhan,et al.  Incorporating Dictionary and Corpus Information into a Context Vector Measure of Semantic Relatednes , 2003 .

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

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

[28]  Nancy Ide,et al.  Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries , 1990, COLING.

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

[30]  Hinrich Schütze,et al.  Automatic Word Sense Discrimination , 1998, Comput. Linguistics.

[31]  Kenneth C. Litkowski,et al.  Use of Machine Readable Dictionaries for Word-Sense Disambiguation in SENSEVAL-2 , 2001, *SEMEVAL.