Auto-FAQ: an experiment in cyberspace leveraging
Computer Networks and ISDN Systems
Scaling question answering to the web
ACM Transactions on Information Systems (TOIS)
Query clustering using user logs
ACM Transactions on Information Systems (TOIS)
Modern Information Retrieval
Medical Data Mining and Knowledge Discovery
Medical Data Mining and Knowledge Discovery
IEEE Transactions on Knowledge and Data Engineering
NLDB '02 Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Performance issues and error analysis in an open-domain question answering system
ACM Transactions on Information Systems (TOIS)
The use of dynamic contexts to improve casual internet searching
ACM Transactions on Information Systems (TOIS)
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Query Expansion by Mining User Logs
IEEE Transactions on Knowledge and Data Engineering
Question Answering from Frequently Asked Question Files: Experiences with the FAQ Finder System
Question Answering from Frequently Asked Question Files: Experiences with the FAQ Finder System
Enabling domain experts to convey questions to a machine: a modified, template-based approach
Proceedings of the 2nd international conference on Knowledge capture
Domain-Specific Web Search with Keyword Spices
IEEE Transactions on Knowledge and Data Engineering
Image Retrieval Using Multiple Evidence Ranking
IEEE Transactions on Knowledge and Data Engineering
Domain-specific FAQ retrieval using independent aspects
ACM Transactions on Asian Language Information Processing (TALIP)
Answering clinical questions with role identification
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Information extraction for question answering: improving recall through syntactic patterns
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Ontology-based speech act identification in a bilingual dialog system using partial pattern trees
Journal of the American Society for Information Science and Technology
Extended probabilistic HAL with close temporal association for psychiatric query document retrieval
ACM Transactions on Information Systems (TOIS)
Psychiatric document retrieval using a discourse-aware model
Artificial Intelligence
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This investigation presents a novel approach to semantic segment extraction and matching for retrieving information from Internet FAQs with natural language queries. Two semantic segments, the question category segment (QS) and the keyword segment (KS), are extracted from the input queries and the FAQ questions with a semiautomatically derived question-semantic grammar. A semantic matching method is presented to estimate the similarity between the semantic segments of the query and the questions in the FAQ collection. Additionally, the vector space model (VSM) is adopted to measure the similarity between the query and the answers of the QA pairs. Finally, a multistage ranking strategy is adopted to determine the optimally performing combination of similarity metrics. The experimental results illustrate that the proposed method achieves an average rank of 4.52 and a top-10 recall rate of 90.89 percent. Compared with the query-expansion method, this method improves the performance by 4.82 places in the average rank of correct answers, 25.34 percent in the top-5 recall rate, and 5.21 percent in the top-10 recall rate.