natural-language-processing-14
Semantic Role Labeling
3260 papers • 126 benchmarks • 313 datasets
Semantic role labeling aims to model the predicate-argument structure of a sentence and is often described as answering "Who did what to whom". BIO notation is typically used for semantic role labeling. Example: Housing starts are expected to quicken a bit from August’s pace B-ARG1 I-ARG1 O O O V B-ARG2 I-ARG2 B-ARG3 I-ARG3 I-ARG3
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Benchmarks
These leaderboards are used to track progress in semantic-role-labeling-14
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Dataset
Best Model
Actions
OntoNotes
OntoNotes
CoNLL 2005
CoNLL 2005
CoNLL05 WSJ
CoNLL05 WSJ
Libraries
iUse these libraries to find semantic-role-labeling-14 models and implementations
