Managing syntactic variation in text retrieval

Information Retrieval systems are limited by the linguistic variation of language. The use of Natural Language Processing techniques to manage this problem has been studied for a long time, but mainly focusing on English. In this paper we deal with European languages, taking Spanish as a case in point. Two different sources of syntactic information, queries and documents, are studied in order to increase the performance of Information Retrieval systems. Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing—Indexing methods, Linguistic processing; H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval—Query formulation General Terms Algorithms Keywords Information retrieval, natural language processing, shallow parsing

• Type: Conference
• Year: 2005
• Where: DOCENG
• Authors: Jesús Vilares, Carlos Gómez-Rodríguez, Miguel A. Alonso
• Keywords: DOCENG 2005, Document Analysis, Information Retrieval, Information Retrieval Systems, Natural Language Processing