ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Investigating unsupervised learning for text categorization bootstrapping
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Text classification by labeling words
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Lexical reference: a semantic matching subtask
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Directional distributional similarity for lexical inference
Natural Language Engineering
A semantic term weighting scheme for text categorization
Expert Systems with Applications: An International Journal
A fuzzy declarative approach for classifying unlabeled short texts using thesauri
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Corporate news classification and valence prediction: a supervised approach
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
Classification-based contextual preferences
TIWTE '11 Proceedings of the TextInfer 2011 Workshop on Textual Entailment
Classifying unlabeled short texts using a fuzzy declarative approach
Language Resources and Evaluation
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Requiring only category names as user input is a highly attractive, yet hardly explored, setting for text categorization. Earlier bootstrapping results relied on similarity in LSA space, which captures rather coarse contextual similarity. We suggest improving this scheme by identifying concrete references to the category name's meaning, obtaining a special variant of lexical expansion.