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» Word Importance Discrimination Using Context Information
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LREC
2010
153views Education» more  LREC 2010»
15 years 4 months ago
Homographic Ideogram Understanding Using Contextual Dynamic Network
Conventional methods for disambiguation problems have been using statistical methods with co-occurrence of words in their contexts. It seems that human-beings assign appropriate w...
Jun Okamoto, Shun Ishizaki
114
Voted
ICC
2007
IEEE
100views Communications» more  ICC 2007»
15 years 9 months ago
Service Delivery in Collaborative Context-Aware Environments Using Fuzzy Logic
— This paper illustrates a novel decision making algorithm to deliver telecommunication services that match in the best possible way end-user’s requirements to current environm...
Raffaele Giaffreda, Javier A. Barria
COLING
2008
15 years 4 months ago
A Method for Automatic POS Guessing of Chinese Unknown Words
This paper proposes a method for automatic POS (part-of-speech) guessing of Chinese unknown words. It contains two models. The first model uses a machinelearning method to predict...
Likun Qiu, Changjian Hu, Kai Zhao
128
Voted
CSL
2010
Springer
15 years 3 months ago
Discriminative training of HMMs for automatic speech recognition: A survey
Recently, discriminative training (DT) methods have achieved tremendous progress in automatic speech recognition (ASR). In this survey article, all mainstream DT methods in speech...
Hui Jiang
129
Voted
ACL
1996
15 years 4 months ago
Combining Trigram-based and Feature-based Methods for Context-Sensitive Spelling Correction
This paper addresses the problem of correcting spelling errors that result in valid, though unintended words (such as peace and piece, or quiet and quite) and also the problem of ...
Andrew R. Golding, Yves Schabes