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» Using Maximum Entropy Model for Chinese Text Categorization
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CIKM
2005
Springer
15 years 3 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
LREC
2010
185views Education» more  LREC 2010»
14 years 11 months ago
A Resource and Tool for Super-sense Tagging of Italian Texts
A SuperSense Tagger is a tool for the automatic analysis of texts that associates to each noun, verb, adjective and adverb a semantic category within a general taxonomy. The devel...
Giuseppe Attardi, Stefano Dei Rossi, Giulia Di Pie...
GFKL
2005
Springer
93views Data Mining» more  GFKL 2005»
15 years 3 months ago
A Hybrid Machine Learning Approach for Information Extraction from Free Text
Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
Günter Neumann
EMNLP
2008
14 years 11 months ago
Two Languages are Better than One (for Syntactic Parsing)
We show that jointly parsing a bitext can substantially improve parse quality on both sides. In a maximum entropy bitext parsing model, we define a distribution over source trees,...
David Burkett, Dan Klein
MT
2002
297views more  MT 2002»
14 years 9 months ago
MARS: A Statistical Semantic Parsing and Generation-Based Multilingual Automatic tRanslation System
We present MARS (Multilingual Automatic tRanslation System), a research prototype speech-to-speech translation system. MARS is aimed at two-way conversational spoken language trans...
Yuqing Gao, Bowen Zhou, Zijian Diao, Jeffrey S. So...