Semantic Role Labeling (predicted predicates)
4 papers with code • 2 benchmarks • 3 datasets
PropBank semantic role labeling with predicted predicates.
Benchmarks
These leaderboards are used to track progress in Semantic Role Labeling (predicted predicates)
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CoNLL
Latest papers
Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments
yzhangcs/crfsrl
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COLING 2022
Semantic role labeling (SRL) is a fundamental yet challenging task in the NLP community.
Generalizing Natural Language Analysis through Span-relation Representations
Natural language processing covers a wide variety of tasks predicting syntax, semantics, and information content, and usually each type of output is generated with specially designed architectures.
Linguistically-Informed Self-Attention for Semantic Role Labeling
Unlike previous models which require significant pre-processing to prepare linguistic features, LISA can incorporate syntax using merely raw tokens as input, encoding the sequence only once to simultaneously perform parsing, predicate detection and role labeling for all predicates.
