Contextual correlates of synonymy
Communications of the ACM
The Theory and Practice of Discourse Parsing and Summarization
The Theory and Practice of Discourse Parsing and Summarization
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Measures of distributional similarity
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
An unsupervised approach to recognizing discourse relations
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Improvements in automatic thesaurus extraction
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
A general framework for distributional similarity
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Acquiring the meaning of discourse markers
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
MDL-based acquisition of substitutability relationships between discourse connectives
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Reformulating discourse connectives for non-expert readers
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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Processing discourse connectives is important for tasks such as discourse parsing and generation. For these tasks, it is useful to know which connectives can signal the same coherence relations. This paper presents experiments into modelling the substitutability of discourse connectives. It shows that substitutability effects distributional similarity. A novel variance-based function for comparing probability distributions is found to assist in predicting substitutability.