Modern Information Retrieval
Natural Language Processing and Information Retrieval
Information Extraction: Towards Scalable, Adaptable Systems
On the Usefulness of Extracting Syntactic Dependencies for Text Indexing
AICS '02 Proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science
Extraction of complex index terms in non-English IR: A shallow parsing based approach
Information Processing and Management: an International Journal
Text Retrieval through Corrupted Queries
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
Corrupted queries in Spanish text retrieval: error correction vs. N-Grams
Proceedings of the 2nd ACM workshop on Improving non english web searching
Dynamic public service mediation
EGOV'10 Proceedings of the 9th IFIP WG 8.5 international conference on Electronic government
Measuring tree similarity for natural language processing based information retrieval
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Managing misspelled queries in IR applications
Information Processing and Management: an International Journal
Lexical and Syntactic knowledge for Information Retrieval
Information Processing and Management: an International Journal
Improving passage retrieval in question answering using NLP
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
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Up to now, the results of applying sophisticated NL techniques to information retrieval (IR) have been mostly disappointing. Our research aims at investigating in detail the role of syntactic analysis in IR and at finding answers to the question why it works better for some queries and worse for others. The final goal is a hybrid algorithm that selectively applies syntactic analysis to certain classes of queries while relying on standard statistical techniques otherwise.