Sentence completion task using web-scale data

Abstract

We propose a method to automatically answer SAT-style sentence completion questions using web-scale data. Web-scale da-ta have been used in many language studies and have been found to be a very useful resource for improving accuracy in sentence completion task. Our method employs assorted N-gram probability information for each candidate word. We also proposed back-off strategy was used to remove zero probabilities. We found that the accuracy of our proposed method improved by 52-87% over the current state-of-the-art.

DOI: 10.1109/BIGCOMP.2014.6741431

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Cite this paper

@article{Lee2014SentenceCT, title={Sentence completion task using web-scale data}, author={Kyusong Lee and Gary Geunbae Lee}, journal={2014 International Conference on Big Data and Smart Computing (BIGCOMP)}, year={2014}, pages={173-176} }