This paper studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task. Tradit...
This paper describes a supervised three-tier clustering method for classifying studentsā essays of qualitative physics in the Why2-Atlas tutoring system. Our main purpose of cate...
Umarani Pappuswamy, Dumisizwe Bhembe, Pamela W. Jo...
This work addresses the problem of classifying the genre of text, which is useful for a variety of language processing problems. We propose statistics of POS histograms as classiļ...
Sergey Feldman, Marius A. Marin, Mari Ostendorf, M...
Abstract. Previous researches on advanced representations for document retrieval have shown that statistical state-of-the-art models are not improved by a variety of different ling...
āWe present LAIR: A domain-speciļ¬c language that enables users to specify actions to be taken upon meeting speciļ¬c semantic frames in a text, in particular to rephrase and re...