Sporleder, C. and A. Lascarides [2005] Exploiting Linguistic Cues to Classify Rhetorical Relations, in Proceedings of Recent Advances in Natural Language Processing (RANLP), Bulgaria.
We propose a method for automatically identifying rhetorical relations. We use supervised machine learning but exploit cue phrases to automatically extract and label training data. Our models draw on a variety of linguistic cues to distinguish between the relations. We show that these feature-rich models outperform the previously suggested bigram models by more than 20%, at least for small training sets. Our approach is therefore better suited to deal with relations for which it is difficult to automatically label a lot of training data because they are rarely signalled by unambiguous cue phrases (e.g., Continuation).
@inproceedings{sporleder:lascarides:2005,
author = {Caroline Sporleder and Alex Lascarides},
year = {2005},
title = {Exploiting Linguistic Cues to Classify Rhetorical Relations},
booktitle = {Proceedings of Recent Advances in Natural Langauge Processing (RANLP)},
address = {Bulgaria}
}