CI-ADDO-EN: FrameNet 3: Upgrading FrameNet for the NLP Community

International Computer Science Institute, Berkeley CA

Investigators

Abstract

The FrameNet project has been building a lexical database containing highly detailed information about the syntax and semantics of the different senses of English words, with applications such as question answering and information extraction. The database is based on Charles Fillmore's theory of Frame Semantics, relating word meanings to conceptualizations of situations and their participants, ranging from simple actions like Placing to complex events such as a Criminal process, with subevents like Arraignment and Trial. The generalizations are derived from annotated example sentences from large text corpora. In this planning grant, input will be gathered from researchers in the NLP field regarding how the FrameNet data is currently being used, how it can be made more useful to a wider range of users, and how it can be enhanced so as to enable new directions of research. As part of this, a series of conferences will be held, both face-to-face and by videoconference, to plan future FrameNet development and cooperation and alignment of data with other lexical resources and annotation projects, such as WordNet, PropBank, OntoNotes, etc., with the ultimate goal of improving results in sense disambiguation, semantic role recognition, and natural language understanding in general.