A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Finding semantically similar questions based on their answers
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieving answers from frequently asked questions pages on the web
Proceedings of the 14th ACM international conference on Information and knowledge management
Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
Inverted files for text search engines
ACM Computing Surveys (CSUR)
Retrieval models for question and answer archives
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A syntactic tree matching approach to finding similar questions in community-based qa services
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
The use of categorization information in language models for question retrieval
Proceedings of the 18th ACM conference on Information and knowledge management
Proceedings of the 19th international conference on World wide web
Information Processing and Management: an International Journal
ACM Transactions on Information Systems (TOIS)
Review summarization based on linguistic knowledge
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications
Exploring the existing category hierarchy to automatically label the newly-arising topics in cQA
Proceedings of the 21st ACM international conference on Information and knowledge management
Question-answer topic model for question retrieval in community question answering
Proceedings of the 21st ACM international conference on Information and knowledge management
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Community Question Answering services, e.g., Yahoo! Answers, have accumulated large archives of question answer (QA) pairs for information and answer retrieval. An effective question retrieval model is essential to increase the accessibility of the QA archives. QA archives are usually organized into categories and question search can be performed within the whole collection or within a certain category.. In this paper, we explore domain-specific term weight for archived question search. Specifically, we propose a novel light-weighted term weighting scheme that exploits multiple aspects of the domain information. We also introduce a framework to seamlessly integrate domain-specific term weight into the existing retrieval models. Extensive experiments conducted on real Archived QA data demonstrate the utility of the proposed techniques.