Miriam R. L. Petruck from the International Computer Science Institute, Berkeley presents a talk on FrameNet.
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. 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.
No recent activity