MDL-based acquisition of substitutability relationships between discourse connectives

Authors:
Ben Hutchinson
Affiliations:
University of Edinburgh, School of Informatics, Edinburgh, UK
Venue:
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Year:
2005

Citing 2
Cited 0

Information-Based Evaluation Criterion for Classifier's Performance

Machine Learning
Modelling the substitutability of discourse connectives

ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics

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Abstract

Knowledge of which lexical items convey the same meaning in a given context is important for many Natural Language Processing tasks. This paper concerns the substitutability of discourse connectives in particular. This paper proposes a datadriven method based on a Minimum Description Length (MDL) criterion for automatically learning substitutability of connectives. The method is shown to outperform two baseline classifiers.