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» Name Tagging with Word Clusters and Discriminative Training
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ACL
2007
13 years 8 months ago
Chinese Segmentation with a Word-Based Perceptron Algorithm
Standard approaches to Chinese word segmentation treat the problem as a tagging task, assigning labels to the characters in the sequence indicating whether the character marks a w...
Yue Zhang 0004, Stephen Clark
INTERSPEECH
2010
13 years 1 months ago
Semi-supervised part-of-speech tagging in speech applications
When no training or adaptation data is available, semisupervised training is a good alternative for processing new domains. We perform Bayesian training of a part-of-speech (POS) ...
Richard Dufour, Benoît Favre
ACL
2006
13 years 8 months ago
Unsupervised Part-of-Speech Tagging Employing Efficient Graph Clustering
An unsupervised part-of-speech (POS) tagging system that relies on graph clustering methods is described. Unlike in current state-of-the-art approaches, the kind and number of dif...
Chris Biemann
ACL
2008
13 years 8 months ago
Joint Word Segmentation and POS Tagging Using a Single Perceptron
For Chinese POS tagging, word segmentation is a preliminary step. To avoid error propagation and improve segmentation by utilizing POS information, segmentation and tagging can be...
Yue Zhang 0004, Stephen Clark
COLING
2000
13 years 8 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