Machine Learning
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
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
An intelligent discussion-bot for answering student queries in threaded discussions
Proceedings of the 11th international conference on Intelligent user interfaces
A framework to predict the quality of answers with non-textual features
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Detection of question-answer pairs in email conversations
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Summarizing email conversations with clue words
Proceedings of the 16th international conference on World Wide Web
Finding question-answer pairs from online forums
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Extracting chatbot knowledge from online discussion forums
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Modeling semantic relevance for question-answer pairs in web social communities
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Deep Learning Approaches to Semantic Relevance Modeling for Chinese Question-Answer Pairs
ACM Transactions on Asian Language Information Processing (TALIP)
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Extracting question-answer pairs from online forums is a meaningful work due to the huge amount of valuable user generated resource contained in forums. In this paper we consider the problem of extracting Chinese question-answer pairs for the first time. We present a strategy to detect Chinese questions and their answers. We propose a sequential rule based method to find questions in a forum thread, then we adopt nontextual features based on forum structure to improve the performance of answer detecting in the same thread. Experimental results show that our techniques are very effective.