Centroid-Means-Embedding: An Approach to Infusing Word Embeddings into Features for Text Classification - researchr publication authors

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Mohammad Golam Sohrab, Makoto Miwa, Yutaka Sasaki. Centroid-Means-Embedding: An Approach to Infusing Word Embeddings into Features for Text Classification. In Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Cheung, Hiroshi Motoda, editors, Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I. Volume 9077 of Lecture Notes in Computer Science, pages 289-300, Springer, 2015. [doi]

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