The constituent object parser: syntactic structure matching for information retrieval
ACM Transactions on Information Systems (TOIS)
Capturing term dependencies using a language model based on sentence trees
Proceedings of the eleventh international conference on Information and knowledge management
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Natural Language Engineering
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Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Using surface-syntactic parser and deviation from randomness
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
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This document describes the CLIPS experiments in the CLEF 2005 campaign. We used a surface-syntactic parser in order to extract new indexing terms. These terms are considered syntactic dependencies. Our goal was to evaluate their relevance for an information retrieval task. We used them in different forms in different information retrieval models, in particular in a language model. For the bilingual task, we tried two simple tests of Spanish and German to French retrieval; for the translation we used a lemmatizer and a dictionary.