A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
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
FAQ finder: a case-based approach to knowledge navigation
CAIA '95 Proceedings of the 11th Conference on Artificial Intelligence for Applications
Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
Recommending questions using the mdl-based tree cut model
Proceedings of the 17th international conference on World Wide Web
Tapping on the potential of q&a community by recommending answer providers
Proceedings of the 17th ACM conference on Information and knowledge management
A classification-based approach to question answering in discussion boards
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Understanding and summarizing answers in community-based question answering services
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
The use of categorization information in language models for question retrieval
Proceedings of the 18th ACM conference on Information and knowledge management
Learning to recommend questions based on user ratings
Proceedings of the 18th ACM conference on Information and knowledge management
Proceedings of the 19th international conference on World wide web
Exploring domain-specific term weight in archived question search
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Predicting best answerers for new questions in community question answering
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Chinese question retrieval system using dependency information
AMT'10 Proceedings of the 6th international conference on Active media technology
Improving question recommendation by exploiting information need
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Improved answer ranking in social question-answering portals
Proceedings of the 3rd international workshop on Search and mining user-generated contents
Information Processing and Management: an International Journal
ACM Transactions on Information Systems (TOIS)
Learning from the past: answering new questions with past answers
Proceedings of the 21st international conference on World Wide Web
Finding expert users in community question answering
Proceedings of the 21st international conference companion on World Wide Web
Bootstrap-Based equivalent pattern learning for collaborative question answering
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Semi-automatically extracting FAQs to improve accessibility of software development knowledge
Proceedings of the 34th International Conference on Software Engineering
Dual role model for question recommendation in community question answering
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Two-part segmentation of text documents
Proceedings of the 21st ACM international conference on Information and knowledge management
Predicting Best Responder in Community Question Answering Using Topic Model Method
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Hi-index | 0.00 |
A large number of question and answer pairs can be collected from question and answer boards and FAQ pages on the Web. This paper proposes an automatic method of finding the questions that have the same meaning. The method can detect semantically similar questions that have little word overlap because it calculates question-question similarities by using the corresponding answers as well as the questions. We develop two different similarity measures based on language modeling and compare them with the traditional similarity measures. Experimental results show that semantically similar questions pairs can be effectively found with the proposed similarity measures.