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Using WordNet to disambiguate word senses for text retrieval

Using WordNet to disambiguate word senses for text retrieval,10.1145/160688.160715,Ellen M. Voorhees

Using WordNet to disambiguate word senses for text retrieval   (Citations: 248)
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This paper describes an automatic indexing procedure that uses the “IS-A” relations contained within WordNet and the set of nouns contained in a text to select a sense for each plysemous noun in the text. The result of the indexing procedure is a vector in which some of the terms represent word senses instead of word stems. Retrieval experiments comparing the effectivenss of these sense-based vectors vs. stem-based vectors show the stem-based vectors to be superior overall, although the sense-based vectors do improve the performance of some queries. The overall degradation is due in large part to the difficulty of disambiguating senses in short query statements. An analysis of these results suggests two conclusions: the IS-A links define a generalization/specialization hierarchy that is not sufficient to reliably select the correct sense of a noun from the set of fine sense distinctions in WordNet; and missing correct matches because of incorrect sense resolution has a much more deleterious effect on retrieval performance than does making spurious matches.
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    • ...Typically, individual terms within textual queries are expanded based upon lexical relations (Voorhees 1993)...
    • ...However, this may result in a small degradation of accuracy (Voorhees 1993; Stairmand 1997)...
    • ...In fact, several researchers (Voorhees 1993; Stairmand 1997) have empirically shown that by using WordNet the retrieval performance of search systems is slightly degraded...

    Marco Crassoet al. Combining Query-By-Example and Query Expansion for simplifying WebServ...

    • ...The problem of improving predictive performance by incorporating structured knowledge has been addressed in previous work, especially in the fields of text classification and information retrieval [1, 2, 3, 4, 5, 6, 7, 8]. Despite a number of interesting results, the conclusions drawn from these works are multi-faceted, i.e., sometimes the structured knowledge is of benefit, and sometimes, even with carefully tuned NLP procedures and ...,Much of the related work done in the area of information retrieval has been in the context of query expansion techniques [3, 7]. Recent work by Lu et al. [6] proposes document and query-side processing to extract entity-oriented features...

    Weiwei Chenget al. Automated feature generation from structured knowledge

    • ...In the studies that a combination of these relations has been used [6, 7], promising results have been reported...

    Najmeh Ahmadianet al. A context aware approach to semantic query expansion

    • ...Reference [9] used WordNet for WSD and applied it to retrieval, but the results were not good...
    • ...In the second category, query expansion is based on knowledge structures like corpora [7], thesauri [9], dictionaries, or the combination of them [10]...

    F. B. Dian Paskaliset al. Word sense disambiguation in information retrieval using query expansi...

    • ...WordNet [13], [37] is a large lexical database (basically in English) developed under the direction of George A. Miller...

    Matteo Gaetaet al. Ontology Extraction for Knowledge Reuse: The e-Learning Perspective

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