Dependency structure applied to language modeling for information retrieval
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- Title
- Dependency structure applied to language modeling for information retrieval
- Authors
- Lee, C; Lee, GG; Jang, MG
- Date Issued
- 2006-06
- Publisher
- ELECTRONICS TELECOMMUNICATIONS RESEAR
- Abstract
- In this paper, we propose a new language model, namely, a dependency structure language model, for information retrieval to compensate for the weaknesses of unigram and bigram language models. The dependency structure language model is based on the first-order dependency model and the dependency parse tree generated by a linguistic parser. So, long-distance dependencies can be naturally captured by the dependency structure language model. We carried out extensive experiments to verify the proposed model, where the dependency structure model gives a better performance than recently proposed language models and the Okapi BM25 method, and the dependency structure is more effective than unigram and bigram in language modeling for information retrieval.
- Keywords
- language model; term dependency; information retrieval; dependency structure
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/23987
- DOI
- 10.4218/etrij.06.0105.0020
- ISSN
- 1225-6463
- Article Type
- Article
- Citation
- ETRI JOURNAL, vol. 28, no. 3, page. 337 - 346, 2006-06
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