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» Using Maximum Entropy Model for Chinese Text Categorization
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COLING
2008
13 years 7 months ago
A Discriminative Alignment Model for Abbreviation Recognition
This paper presents a discriminative alignment model for extracting abbreviations and their full forms appearing in actual text. The task of abbreviation recognition is formalized...
Naoaki Okazaki, Sophia Ananiadou, Jun-ichi Tsujii
ICPR
2010
IEEE
13 years 3 months ago
Exploiting Combined Multi-level Model for Document Sentiment Analysis
This paper focuses on the task of text sentiment analysis in hybrid online articles and web pages. Traditional approaches of text sentiment analysis typically work at a particular ...
Si Li, Hao Zhang, Weiran Xu, Guang Chen, Jun Guo
ICASSP
2011
IEEE
12 years 9 months ago
Deep belief nets for natural language call-routing
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
Ruhi Sarikaya, Geoffrey E. Hinton, Bhuvana Ramabha...
ACL
2007
13 years 7 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...
COLING
2000
13 years 7 months ago
Word Order Acquisition from Corpora
In this paper we describe a method of acquiring word order fl'om corpora. Word order is defined as the order of modifiers, or the order of phrasal milts called 'bunsetsu...
Kiyotaka Uchimoto, Masaki Murata, Qing Ma, Satoshi...