Evaluating question-answering techniques in Chinese
HLT '01 Proceedings of the first international conference on Human language technology research
Novelty detection based on sentence level patterns
Proceedings of the 14th ACM international conference on Information and knowledge management
Improving novelty detection for general topics using sentence level information patterns
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
An information-pattern-based approach to novelty detection
Information Processing and Management: an International Journal
Type-Based Query Expansion for Sentence Retrieval
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Exploration of term relationship for Bayesian network based sentence retrieval
Pattern Recognition Letters
Exploration of term dependence in sentence retrieval
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
A survey on question answering technology from an information retrieval perspective
Information Sciences: an International Journal
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Syntactic information potentially plays a much more important role in question answering than it does in information retrieval. Although many people have used syntactic evidence in Question Answering, there haven't been many detailed experiments reported in the literature. The aim of the experiment described in this paper is to study the impact of a particular approach for using syntactic information on question answering effectiveness. Our results indicate that a combination of syntactic information with heuristics for ranking potential answers can perform better than the ranking heuristics on their own.