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» Negative Training Data Can be Harmful to Text Classification
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ACL
2009
13 years 4 months ago
Mining Association Language Patterns for Negative Life Event Classification
Negative life events, such as death of a family member, argument with a spouse and loss of a job, play an important role in triggering depressive episodes. Therefore, it is worth ...
Liang-Chih Yu, Chien-Lung Chan, Chung-Hsien Wu, Ch...
ICASSP
2011
IEEE
12 years 10 months ago
Training of error-corrective model for ASR without using audio data
This paper introduces a method to train an error-corrective model for Automatic Speech Recognition (ASR) without using audio data. In existing techniques, it is assumed that sufï¬...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura
COLING
2010
13 years 1 months ago
A Vector Space Model for Subjectivity Classification in Urdu aided by Co-Training
The goal of this work is to produce a classifier that can distinguish subjective sentences from objective sentences for the Urdu language. The amount of labeled data required for ...
Smruthi Mukund, Rohini K. Srihari
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 6 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
WWW
2010
ACM
13 years 6 months ago
Cross-domain sentiment classification via spectral feature alignment
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qian...