Paper: Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns

ACL ID E14-1068
Title Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

Sentences form coherent relations in a discourse without discourse connectives more frequently than with connectives. Senses of these implicit discourse rela- tions that hold between a sentence pair, however, are challenging to infer. Here, we employ Brown cluster pairs to rep- resent discourse relation and incorporate coreference patterns to identify senses of implicit discourse relations in naturally occurring text. Our system improves the baseline performance by as much as 25%. Feature analyses suggest that Brown clus- ter pairs and coreference patterns can re- veal many key linguistic characteristics of each type of discourse relation.