Paper: Predicting the Presence of Discourse Connectives

ACL ID D13-1094
Title Predicting the Presence of Discourse Connectives
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013

We present a classification model that predicts the presence or omission of a lexical connec- tive between two clauses, based upon linguis- tic features of the clauses and the type of dis- course relation holding between them. The model is trained on a set of high frequency relations extracted from the Penn Discourse Treebank and achieves an accuracy of 86.6%. Analysis of the results reveals that the most in- formative features relate to the discourse de- pendencies between sequences of coherence relations in the text. We also present results of an experiment that provides insight into the nature and difficulty of the task.