Handling Out of Vocabulary in supervised event extraction on Indonesian tweets: Using word representation, word list, word context and document level features

Abstract

Extracting event information from Twitter is still promising since there are many Twitter accounts built just to spread the event information broadly. The most difficult part to extract event information is the Out of Vocabulary (OOV) problem, especially for event name. Here, we tried to enhance the features used for our supervised event extraction. These… (More)

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Cite this paper

@article{Muhammad2016HandlingOO, title={Handling Out of Vocabulary in supervised event extraction on Indonesian tweets: Using word representation, word list, word context and document level features}, author={Fawwaz Muhammad and Ayu Purwarianti}, journal={2016 International Conference on Data and Software Engineering (ICoDSE)}, year={2016}, pages={1-6} }