Paper: Recognizing Authority in Dialogue with an Integer Linear Programming Constrained Model

ACL ID P11-1102
Title Recognizing Authority in Dialogue with an Integer Linear Programming Constrained Model
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

We present a novel computational formula- tion of speaker authority in discourse. This notion, which focuses on how speakers posi- tion themselves relative to each other in dis- course, is first developed into a reliable cod- ing scheme (0.71 agreement between human annotators). We also provide a computational model for automatically annotating text using this coding scheme, using supervised learning enhanced by constraints implemented with In- teger Linear Programming. We show that this constrained model’s analyses of speaker au- thority correlates very strongly with expert hu- man judgments (r2 coefficient of 0.947).