We propose methods to classify lines of military chat, or posts, which contain items of interest. We evaluated several current text categorization and feature selection methodologi...
This paper presents empirical results that contradict the prevailing opinion that entity extraction is a boring solved problem. In particular, we consider data sets that resemble ...
This paper presents Carnegie Mellon University’s experiments on the mixed named-page and homepage finding task of the TREC 12 Web Track. Our results were strong; we achieved the...
As many popular text genres such as blogs or news contain opinions by multiple sources and about multiple targets, finding the sources and targets of subjective expressions become...
Josef Ruppenhofer, Swapna Somasundaran, Janyce Wie...
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...