Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A cross-collection mixture model for comparative text mining
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
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
Discovering authorities in question answer communities by using link analysis
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Opinion integration through semi-supervised topic modeling
Proceedings of the 17th international conference on World Wide Web
Retrieval models for question and answer archives
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Predicting information seeker satisfaction in community question answering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Rated aspect summarization of short comments
Proceedings of the 18th international conference on World wide web
Probabilistic question recommendation for question answering communities
Proceedings of the 18th international conference on World wide web
Ranking community answers by modeling question-answer relationships via analogical reasoning
Proceedings of the 32nd 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
Is this urgent?: exploring time-sensitive information needs in collaborative question answering
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
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
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Community Question Answering (CQA) services have evolved into a popular way of information seeking and providing. User-posted questions in CQA are generally organized into hierarchical categories. In this paper, we define and study a novel problem which is referred to as New Category Identification (NCI) in CQA question archives. New Category Identification is primarily concerned with detecting and characterizing new or emerging categories which are not included in the existing category hierarchy. We define this problem formally, and propose both unsupervised and semi-supervised topic modeling methods to solve it. Experiments with a ground-truth set built from Yahoo! Answers show that our methods identify and interpret new categories effectively.