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Topic-sensitive probabilistic model for expert finding in question answer communities.

, , , and . CIKM, page 1662-1666. ACM, (2012)

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Relation Classification via Convolutional Deep Neural Network., , , , , and . COLING, page 2335--2344. (2014)Recurrent Convolutional Neural Networks for Text Classification., , , and . AAAI, page 2267-2273. AAAI Press, (2015)Relation Classification via Convolutional Deep Neural Network., , , , and . COLING, page 2335-2344. ACL, (2014)Word and Document Embeddings based on Neural Network Approaches.. CoRR, (2016)Topic-sensitive probabilistic model for expert finding in question answer communities., , , and . CIKM, page 1662-1666. ACM, (2012)Ontology Matching with Word Embeddings., , , , , , and . CCL, volume 8801 of Lecture Notes in Computer Science, page 34-45. Springer, (2014)Mining Opinion Words and Opinion Targets in a Two-Stage Framework., , , , and . ACL (1), page 1764-1773. The Association for Computer Linguistics, (2013)How to Generate a Good Word Embedding?, , , and . CoRR, (2015)Walk and learn: a two-stage approach for opinion words and opinion targets co-extraction., , , , and . WWW (Companion Volume), page 95-96. International World Wide Web Conferences Steering Committee / ACM, (2013)Attribute Relation Extraction from Template-inconsistent Semi-structured Text by Leveraging Site-level Knowledge., , , , , and . IJCNLP, page 1097-1101. Asian Federation of Natural Language Processing / ACL, (2013)