We report results on predicting the sense of implicit discourse relations between adjacent sentences in text. Our investigation concentrates on the association between discourse relations and properties of the referring expressions that appear in the related sentences. The properties of interest include coreference information, grammatical role, information status and syntactic form of referring expressions. Predicting the sense of implicit discourse relations based on these features is considerably better than a random baseline and several of the most discriminative features conform with linguistic intuitions. However, these features do not perform as well as lexical features traditionally used for sense prediction.
REF focused on implicit relations that link adjacent arguments and experimented with co-reference information, grammatical role, information status and syntactic form of referring expressions.
Using entity features to classify implicit discourse relations
Proceedings of the SIGDIAL 2010 Conference
Computer Science