Paper Info
Title
The Dependency-Parsed FrameNet Corpus.
Abstract
When training semantic role labeling systems, the syntax of example sentences is of particular importance. Unfortunately, for the FrameNet annotated sentences, there is no standard parsed version. The integration of the automatic parse of an annotated sentence with its semantic annotation, while conceptually straightforward, is complex in practice. We present a standard dataset that is publicly available and that can be used in future research. This dataset contains parser-generated dependency structures (with POS tags and lemmas) for all FrameNet 1.5 sentences, with nodes automatically associated with FrameNet annotations.
Year
Venue
Keywords
2012
LREC 2012 - EIGHTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
frame semantics,semantic resource,dependency parsing
Field
DocType
Citations 
Semantic annotation,Computer science,Speech recognition,Artificial intelligence,Natural language processing,Corpus linguistics,Parsing,Syntax,Sentence,Semantic role labeling,Lemma (mathematics),FrameNet
Conference
3
PageRank 
References 
Authors
0.44
11
3
Name
Order
Citations
PageRank
Daniel Bauer130.44
Hagen Fürstenau253320.43
Owen Rambow32256247.69