Automatic query expansion has been known to be the most important method in overcoming the word mismatch problem in information retrieval. Thesauri have long been used by many researchers as a tool for query expansion. However only one type of thesaurus has generally been used. In this paper we analyze the characteristics of dierent thesaurus types and propose a method to combine them for query expansion. Experiments using the TREC collection proved the eectiveness of our method over those using one type of thesaurus.
Word sense disambiguation has recently been utilized in corpus-based approaches, reflecting the growth in the number of machine readable texts.One category of approaches disambiguates an input verb sense based on the similarity between its governing case fillers and those in given examples.In this paper,we introduce the degree of case contribution to verb sense disambiguation into this existing method. In this,greater diversity of semantic range of case filler examples will lead to that case contributing to verb sense disambiguation more.We also report the result of a comparative experiment,in which the performance of disambiguation is improved by considering this notion of semantic contribution.
This paper proposes a new method based on coreference-chains for extracting citations from research papers. To evaluate our method we created a corpus of citations comprised of citing papers for 4 cited papers. We analyze some phenomena of citations that are present in our corpus, and then evaluate our method against a cue-phrase-based technique. Our method demonstrates higher precision by 7-10%.
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