Krovetz, R. Homonymy and polysemy in information retrieval. Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics (ACL-97), pages 72-79, 1997. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Automatic Multilingual Indexing and Natural Language Processing - Ripplinger, Schmidt (Correct)
....lexical ambiguity reduces the performance of IR as non relevant documents are retrieved on the basis of the irrelevant readings of terms. Separating relevant documents from non relevant ones requires the determination of the reading of the queried terms occurring in the documents. Krovetz [4] showed that word sense disambiguation can contribute to a better performance of IR by disambiguating word senses for indexing Lexical ambiguity has several sources. It may be due to syntactic category. For instance the words duck and call can both be verbs or nouns. But ambiguity can also arise ....
Krovetz, R. Homonymy and Polysemy in Information Retrieval. Proceedings of the 35 th Annual meeting of the Association of Computational Linguistics, 1997.
Semantic Indexing using WordNet Senses - Mihalcea, Moldovan (2000) (4 citations) (Correct)
....They reported an increase in precision of up to 7 when sense based indexing is used alone, and up to 14 for a combined word based and sense based indexing. One of the largest studies regarding the applicability of word semantics to IR is reported by Krovetz (Krovetz and Croft, 1993) (Krovetz, 1997). When talking about word ambiguity, he collapses both the morphological and semantic aspects of ambiguity, and refers them as polysemy and homonymy. He shows that word senses should be used in addition to word based indexing, rather than indexing on word senses alone, basically because of the ....
R. Krovetz. 1997. Homonymy and polysemy in information retrieval. In Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics (ACL-97), pages 72-79.
Lexical ambiguity and Information Retrieval revisited - Gonzalo, Peņas, Verdejo (1999) (1 citation) (Correct)
....the effects of the strategy and the effects of automatic Word Sense Disambiguation (WSD) errors. In (Smeaton and Quigley, 1996) a similar strategy and a combination of manual disambiguation and very short documents image captions produced, however, an improvement of IR performance. 2. In (Krovetz, 1997), discriminating word senses with different Part Of Speech (as annotated by the Church POS tagger) also harmed retrieval efficiency. Krovetz noted than more than half of the words in a dictionary that differ in POS are related in meaning, but he could not decide whether the decrease of performance ....
....better than the synonymy expansion in (Voorhees, 1994) probably because it identifies synonym terms but, at the same time, it differentiates word senses. In this paper we use a variant of the IR Semcor collection to revise the results of the experiments by Sanderson (Sanderson, 1994) and Krovetz (Krovetz, 1997) cited above. The first one is reproduced using both ambiguous pseudo words and real ambiguous words, and the qualitative results compared. This permits us to know if our results are compatible with Sanderson experiments or not. The effect of lexical ambiguity on IR processes is discussed in ....
[Article contains additional citation context not shown here]
R. Krovetz. 1997. Homonymy and polysemy in Information Retrieval. In Proceedings of ACL/EACL'97.
A Highly Accurate Bootstrapping Algorithm For Word Sense.. - Mihalcea, Moldovan (2001) (1 citation) (Correct)
No context found.
Krovetz, R. Homonymy and polysemy in information retrieval. Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics (ACL-97), pages 72-79, 1997.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC