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

First Page		Document Content
Date: 2017-07-19 14:45:03 Linguistics Computational linguistics Statistical natural language processing Natural language processing Corpus linguistics Applied linguistics Speech recognition Topic model Latent Dirichlet allocation N-gram Stemming Text corpus		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 Add to Reading List Source URL: www.cs.cornell.edu Download Document from Source Website File Size: 94,08 KB Share Document on Facebook

	Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities Yulia Grishina and Manfred Stede Applied Computational Linguistics FSP Cognitive Science University of Potsdam DocID: 1vrep - View Document
	Modelling context within a constraint-based account of quantifier usage Chris Cummins1, 2 and Napoleon Katsos1 1 Department of Theoretical and Applied Linguistics, University of Cambridge DocID: 1uKOl - View Document
	Surfaces and Depths in Text Understanding: The Case of Newspaper Commentary Manfred Stede University of Potsdam Dept. of Linguistics Applied Computational Linguistics DocID: 1uATj - View Document
	Medical-domain Machine Translation in KConnect Pavel Pecina Charles University, Prague Faculty of Mathematics and Physics Institute of Formal and Applied Linguistics DocID: 1uxga - View Document
	Scrambled Word Recognition: Implications for Position Coding Chris Cummins Research Centre for English and Applied Linguistics (RCEAL) University of Cambridge Position coding: DocID: 1u6Ph - View Document