Title | ||
---|---|---|
Use of deep linguistic features for the recognition and labeling of semantic arguments |
Abstract | ||
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We use deep linguistic features to predict semantic roles on syntactic arguments, and show that these perform considerably better than surface-oriented features. We also show that predicting labels from a "lightweight" parser that generates deep syntactic features performs comparably to using a full parser that generates only surface syntactic features. |
Year | DOI | Venue |
---|---|---|
2003 | 10.3115/1119355.1119361 | EMNLP |
Keywords | Field | DocType |
full parser,deep linguistic feature,deep syntactic feature,syntactic argument,syntactic feature,semantic argument,surface-oriented feature,semantic role,computer science,information technology | Syntactic predicate,Deep linguistic processing,Computer science,Information technology,Speech recognition,Artificial intelligence,Natural language processing,Parsing,Linguistics,Syntax,Semantic role labeling | Conference |
Volume | Citations | PageRank |
W03-10 | 37 | 7.02 |
References | Authors | |
9 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
john chen | 1 | 197 | 26.31 |
Owen Rambow | 2 | 2256 | 247.69 |