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EMNLP
2010
13 years 5 months ago
Negative Training Data Can be Harmful to Text Classification
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...
Xiaoli Li, Bing Liu, See-Kiong Ng
CICLING
2005
Springer
14 years 1 months ago
A Supervised Clustering Method for Text Classification
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...
ICASSP
2009
IEEE
14 years 2 months ago
Part-of-speech histograms for genre classification of text
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...
ECIR
2004
Springer
13 years 9 months ago
Complex Linguistic Features for Text Classification: A Comprehensive Study
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...
Alessandro Moschitti, Roberto Basili
SEMCO
2009
IEEE
14 years 2 months ago
LAIR: A Language for Automated Semantics-Aware Text Sanitization Based on Frame Semantics
ā€”We 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...
Steffen Hedegaard, Søren Houen, Jakob Grue ...