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With the development of social media applications, short text mining is becoming more and more important. Due to the sparseness of short text data, both the feature correlation information (word co-occurrence) and data contiguity information (context information) are less reliable, thus most existing text mining methods which are designed to address regular text data are less efficient in short text...
In this paper we report our work on multiobjective optimization (MOO) based feature selection approach for event extraction in biomedical texts. Event extraction deals with the detection and classification of expressions that represent complex biological phenomenon involving genes and proteins. We perform feature selection within the framework of a robust machine learning algorithm, namely Conditional...
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