Automatic labeling of semantic roles
Computational Linguistics
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Semantic extraction with wide-coverage lexical resources
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Extracting opinions, opinion holders, and topics expressed in online news media text
SST '06 Proceedings of the Workshop on Sentiment and Subjectivity in Text
Finding common ground: towards a surface realisation shared task
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Reflections on 25+ years of knowledge acquisition
International Journal of Human-Computer Studies
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The FrameNet project has developed a lexical knowledge base providing a unique level of detail as to the the possible syntactic realizations of the specific semantic roles evoked by each predicator, for roughly 7,000 lexical units, on the basis of annotating more than 100,000 example sentences extracted from corpora. An interim version of the FrameNet data was released in October, 2002 and is being widely used. A new, more portable version of the FrameNet software is also being made available to researchers elsewhere, including the Spanish FrameNet project.This demo and poster will briefly explain the principles of Frame Semantics and demonstrate the new unified tools for lexicon building and annotation and also FrameSQL, a search tool for finding patterns in annotated sentences. We will discuss the content and format of the data releases and how the software and data can be used by other NLP researchers.