Paper: Probabilistic Frame Induction

ACL ID N13-1104
Title Probabilistic Frame Induction
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

In natural-language discourse, related events tend to appear near each other to describe a larger scenario. Such structures can be formal- ized by the notion of a frame (a.k.a. template), which comprises a set of related events and prototypical participants and event transitions. Identifying frames is a prerequisite for infor- mation extraction and natural language gen- eration, and is usually done manually. Meth- ods for inducing frames have been proposed recently, but they typically use ad hoc proce- dures and are difficult to diagnose or extend. In this paper, we propose the first probabilistic approach to frame induction, which incorpo- rates frames, events, and participants as latent topics and learns those frame and event transi- tions that best explain the text. The number of frame ...