Interpreting nominal compounds for information retrieval
Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
On application of case relations to document retrieval
On application of case relations to document retrieval
Modern Information Retrieval
IR-n: A Passage Retrieval System at CLEF-2001
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
Maximum entropy models for natural language ambiguity resolution
Maximum entropy models for natural language ambiguity resolution
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Introduction to the CoNLL-2005 shared task: semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
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It is well known that Information Retrieval Systems based entirely on syntactic contents have serious limitations. In order to achieve high precision Information Retrieval Systems the incorporation of Natural Language Processing techniques that provide semantic information is needed. For this reason, in this paper a method to determine the semantic role for the constituents of a sentence is presented. The goal of this is to integrate this method in an Information Retrieval System.