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ELIZA—a computer program for the study of natural language communication between man and machine
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Finding question-answer pairs from online forums
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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
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Extracting Chinese question-answer pairs from online forums
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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Information Processing and Management: an International Journal
Complete-Thread extraction from web forums
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
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TextGraphs-7 '12 Workshop Proceedings of TextGraphs-7 on Graph-based Methods for Natural Language Processing
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This paper presents a novel approach for extracting high-quality 〈thread-title, reply〉 pairs as chat knowledge from online discussion forums so as to efficiently support the construction of a chatbot for a certain domain. Given a forum, the high-quality 〈thread-title, reply〉 pairs are extracted using a cascaded framework. First, the replies logically relevant to the thread title of the root message are extracted with an SVM classifier from all the replies, based on correlations such as structure and content. Then, the extracted 〈thread-title, reply〉 pairs are ranked with a ranking SVM based on their content qualities. Finally, the Top-N 〈thread-title, reply〉 pairs are selected as chatbot knowledge. Results from experiments conducted within a movie forum show the proposed approach is effective.