Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
Forms are the most common way to interface users and Web-based applications. Traditional forms cannot provide the functionality needed to fulfil the requirements of complex appli...
We describe an approach to training a statistical parser from a bracketed corpus, and demonstrate its use in a software testing application that translates English speci cations i...
This article examines the application of two single-document sentence compression techniques to the problem of multi-document summarization—a “parse-and-trim” approach and a...
David M. Zajic, Bonnie J. Dorr, Jimmy J. Lin, Rich...