Nelson Morgan


Detecting Institutional Dialog Acts in Police Traffic Stops
Vinodkumar Prabhakaran | Camilla Griffiths | Hang Su | Prateek Verma | Nelson Morgan | Jennifer L. Eberhardt | Dan Jurafsky
Transactions of the Association for Computational Linguistics, Volume 6

We apply computational dialog methods to police body-worn camera footage to model conversations between police officers and community members in traffic stops. Relying on the theory of institutional talk, we develop a labeling scheme for police speech during traffic stops, and a tagger to detect institutional dialog acts (Reasons, Searches, Offering Help) from transcribed text at the turn (78% F-score) and stop (89% F-score) level. We then develop speech recognition and segmentation algorithms to detect these acts at the stop level from raw camera audio (81% F-score, with even higher accuracy for crucial acts like conveying the reason for the stop). We demonstrate that the dialog structures produced by our tagger could reveal whether officers follow law enforcement norms like introducing themselves, explaining the reason for the stop, and asking permission for searches. This work may therefore inform and aid efforts to ensure the procedural justice of police-community interactions.


Report on the NSF-sponsored Human Language Technology Workshop on Industrial Centers
Mary Harper | Alex Acero | Srinivas Bangalore | Jaime Carbonell | Jordan Cohen | Barbara Cuthill | Carol Espy-Wilson | Christiane Fellbaum | John Garofolo | Chin-Hui Lee | Jim Lester | Andrew McCallum | Nelson Morgan | Michael Picheney | Joe Picone | Lance Ramshaw | Jeff Reynar | Hadar Shemtov | Clare Voss
Proceedings of Machine Translation Summit XI: Papers


The Meeting Project at ICSI
Nelson Morgan | Don Baron | Jane Edwards | Dan Ellis | David Gelbart | Adam Janin | Thilo Pfau | Elizabeth Shriberg | Andreas Stolcke
Proceedings of the First International Conference on Human Language Technology Research