UFRGS@CLEF2008: Indexing Multiword Expressions for Information Retrieval
نویسندگان
چکیده
For UFRGS’s participation on CLEF’s Robust task, our aim was to assess the benefits of identifying and indexing Multiword Expressions (MWEs) for Information Retrieval. The approach used for MWE identification was totally statistical, based association measures such as Mutual Information and Chi-square. Contradicting our results on the training topics, the results on the test topics did not show any significant improvements. However, for some queries, the identification of MWEs was very important. We have also performed bilingual experiments which achieved 84% of their monolingual counterparts.
منابع مشابه
Identification and Treatment of Multiword Expressions Applied to Information Retrieval
The extensive use of Multiword Expressions (MWE) in natural language texts prompts more detailed studies that aim for a more adequate treatment of these expressions. A MWE typically expresses concepts and ideas that usually cannot be expressed by a single word. Intuitively, with the appropriate treatment of MWEs, the results of an Information Retrieval (IR) system could be improved. The aim of ...
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