Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Natural Language Information Retrieval
Natural Language Information Retrieval
An Empirical Approach to Spanish Anaphora Resolution
Machine Translation
Anaphor resolution in unrestricted texts with partial parsing
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Using coreference for question answering
CorefApp '99 Proceedings of the Workshop on Coreference and its Applications
Open Domain Question/Answering on the Web
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Using anaphora resolution to improve opinion target identification in movie reviews
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
LDA based similarity modeling for question answering
SS '10 Proceedings of the NAACL HLT 2010 Workshop on Semantic Search
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Information Retrieval (IR) and Question Answering (QA) systems currently ignore information referred anaphorically in documents. Nevertheless, these references hide important information whose analysis can contribute to improve both IR and QA systems performance. The main aim of this paper is to analyze benefits of solving pronominal anaphora for IR and QA tasks. A complete system has been developed for evaluating the effects of applying this technique. Evaluation demonstrates that performance improvements are obtained in both tasks when pronominal references are solved.