Improving Topic Evaluation Using Conceptual Knowledge

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Date: 2013-10-04 10:30:16 Statistical natural language processing Information science Information retrieval Natural language processing Semantics Topic model Word-sense disambiguation WordNet Latent Dirichlet allocation Computational linguistics Science Linguistics		Improving Topic Evaluation Using Conceptual Knowledge Add to Reading List Source URL: www.rizoiu.eu Download Document from Source Website File Size: 696,96 KB Share Document on Facebook

	Understanding Text Pre-Processing for Latent Dirichlet Allocation Alexandra Schofield1 M˚ans Magnusson2 Laure Thompson1 David Mimno3 1 Department of Computer Science, Cornell University, Ithaca, NY {xanda, laurejt}@cs.c DocID: 1xUNS - View Document
	HarpLDA+: Optimizing Latent Dirichlet Allocation for Parallel Efficiency Bo Peng1 Shaojuan Zhu3 Bingjing Zhang1 Langshi Chen1 Mihai Avram1 Robert Henschel2 Craig Stewart2 Emily Mccallum3 DocID: 1uZcF - View Document
	WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation Jianfei Chen†‡ , Kaiwei Li†§ , Jun Zhu†‡ , Wenguang Chen†§ † Dept. of Comp. Sci. & Tech.; TNList Lab; CBICR Center; Tsinghua Univ DocID: 1uZ6x - View Document
	Journal of Machine Learning Research1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei DocID: 1thkm - View Document
	When One Textbook is not Enough: Linking Multiple Textbooks Using Probabilistic Topic Models Julio Guerra12 , Sergey Sosnovsky3 , and Peter Brusilovsky1 1 DocID: 1r8Au - View Document