Auto-FAQ: an experiment in cyberspace leveraging
Computer Networks and ISDN Systems
Bridging the lexical chasm: statistical approaches to answer-finding
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Question Answering with Textual CBR
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
NLDB '02 Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers
FAQ finder: a case-based approach to knowledge navigation
CAIA '95 Proceedings of the 11th Conference on Artificial Intelligence for Applications
Domain-specific FAQ retrieval using independent aspects
ACM Transactions on Asian Language Information Processing (TALIP)
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
Question terminology and representation for question type classification
COMPUTERM '02 COLING-02 on COMPUTERM 2002: second international workshop on computational terminology - Volume 14
Semantic patterns for user-interactive question answering
Concurrency and Computation: Practice & Experience - Second International Conference on Semantics, Knowledge and Grid (SKG2006)
Semantic pattern learning through maximum entropy-based WSD technique
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
A Web-Based Platform for User-Interactive Question-Answering
World Wide Web
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A strategy of automatic answer retrieval for repeated or similar questions in user-interactive systems by employing semantic question patterns is proposed in this paper. The used semantic question pattern is a generalized representation of a group of questions with both similar structure and relevant semantics. Specifically, it consists of semantic annotations or constraints for the variable components in the pattern and hence enhances the semantic representation and greatly reduces the ambiguity of a question instance when asked by a user using such pattern. The proposed method consists of four major steps: structure processing, similar pattern matching and filtering, automatic pattern generation, question similarity evaluation and answer retrieval. Preliminary experiments in a real question answering system show a precision of more than 90% of the method.