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ANLP
2000

A Classification Approach to Word Prediction

13 years 5 months ago
A Classification Approach to Word Prediction
The eventual goal of a language model is to accurately predict the value of a missing word given its context. We present an approach to word prediction that is based on learning a representation for each word as a function of words and linguistics predicates in its context. This approach raises a few new questions that we address. First, in order to learn good word representations it is necessary to use an expressive representation of the context. We present a way that uses external knowledge to generate expressive context representations, along with a learning method capable of handling the large number of features generated this way that can, potentially, contribute to each prediction. Second, since the number of words "competing" for each prediction is large, there is a need to "focus the attention" on a smaller subset of these. We exhibit the contribution of a "focus of attention" mechanism to the performance of the word predictor. Finally, we describ...
Yair Even-Zohar, Dan Roth
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where ANLP
Authors Yair Even-Zohar, Dan Roth
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