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» Word Maturity: Computational Modeling of Word Knowledge
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ACL
2010
14 years 7 months ago
Topic Models for Word Sense Disambiguation and Token-Based Idiom Detection
This paper presents a probabilistic model for sense disambiguation which chooses the best sense based on the conditional probability of sense paraphrases given a context. We use a...
Linlin Li, Benjamin Roth, Caroline Sporleder
COLING
2010
14 years 4 months ago
Word-based and Character-based Word Segmentation Models: Comparison and Combination
We present a theoretical and empirical comparative analysis of the two dominant categories of approaches in Chinese word segmentation: word-based models and character-based models...
Weiwei Sun
COLING
2000
14 years 11 months ago
Word Sense Disambiguation of Adjectives Using Probabilistic Networks
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
Gerald Chao, Michael G. Dyer
112
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AAAI
2011
13 years 9 months ago
A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task
Effective access to knowledge within large declarative memory stores is one challenge in the development and understanding of long-living, generally intelligent agents. We focus o...
Nate Derbinsky, John E. Laird
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
15 years 4 months ago
Document-Word Co-regularization for Semi-supervised Sentiment Analysis
The goal of sentiment prediction is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. One can pose sentim...
Vikas Sindhwani, Prem Melville