natural-language-processing-4

Semantic Role Labeling (predicted predicates)

3260 papers • 126 benchmarks • 313 datasets

PropBank semantic role labeling with predicted predicates.

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Benchmarks

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CoNLL 2012

CoNLL 2005

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Datasets

CoNLL-2012

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Most implemented papers

Generalizing Natural Language Analysis through Span-relation Representations

Graham Neubig, Zhengbao Jiang, W. Xu, J. Araki•Sat Nov 09 2019

This paper provides the simple insight that a great variety of tasks can be represented in a single unified format consisting of labeling spans and relations between spans, thus a single task-independent model can be used across different tasks.

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Linguistically-Informed Self-Attention for Semantic Role Labeling

Emma Strubell, A. McCallum, D. Andor, David Weiss, Pat Verga•Sun Apr 22 2018

LISA is a neural network model that combines multi-head self-attention with multi-task learning across dependency parsing, part-of-speech tagging, predicate detection and SRL, and can incorporate syntax using merely raw tokens as input.

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Paper Graph

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