Abstract
This paper presents an approach that merges case relations into the well-known Vector Space Model (VSM), leading to a new model named C-VSM (Case relation-based VSM). A Chinese case system with 23 case relations is established, and a Chinese Olympic news corpus of 7,662 sentences, denoted COCS, is constructed by manual annotation with these 23 case relations. We use 50 queries on COCS as a test set. Experimental results on the test set show that C-VSM outperforms W-VSM (Word-based VSM) by 3.4% on the average 11-point precision. It is worth pointing out that almost all the previous studies on semantic IR obtained no better, even worse, results than W-VSM, our work thus validates the usefulness of case relations in IR through the validation is still preliminary. The proposed model is believed to be language-independent.
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Hongtao, W., Maosong, S., Shaoming, L. (2005). Merging Case Relations into VSM to Improve Information Retrieval Precision. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_62
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DOI: https://doi.org/10.1007/978-3-540-30586-6_62
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