FrameNet a talk by Miriam R. L. Petruck of International Computer Science Institute, Berkeley

Wed, March 19, 2014

Founded in 1997 by Charles J. Fillmore, the FrameNet project has been building a unique knowledge base that maps meaning to form through the theory of Frame Semantics. Started as a computational lexicography project, FrameNet is the most sophisticated instantiation of Frame Semantics, at the heart of which is the semantic frame, i.e. a schematic representation of an event, situation, state of affairs or object, which facilitates inferences about participants and objects in and across situations and events. Documenting its findings with corpus evidence, the project’s goal is to provide a body of semantically and syntactically annotated sentences from which reliable information can be reported on the combinatorial possibilities of each item analyzed.

In addition to presenting and illustrating the fundamental principles of Frame Semantics, the daily work of FrameNet researchers, and the FrameNet database, the project’s primary product, this talk covers the research that FrameNet has inspired in the natural language processing community, including automatic semantic role labeling, minimally required for a range of more sophisticated NLP tasks, such as information extraction, question answering, event extraction and automatic reasoning, as well as automatically induced Frame Semantic lexicons. 

Finally, the talk addresses the importance of FrameNet for linguistic theory and natural language processing application development.

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