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Found 6 papers, 4 papers with code
Syntax Role for Neural Semantic Role Labeling
Semantic role labeling (SRL) is dedicated to recognizing the semantic predicate-argument structure of a sentence.
Effective Representation for Easy-First Dependency Parsing
Easy-first parsing relies on subtree re-ranking to build the complete parse tree.
A Unified Syntax-aware Framework for Semantic Role Labeling
Semantic role labeling (SRL) aims to recognize the predicate-argument structure of a sentence.
A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware?
Semantic role labeling (SRL) is to recognize the predicate-argument structure of a sentence, including subtasks of predicate disambiguation and argument labeling.
A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?
Semantic role labeling (SRL) is to recognize the predicate-argument structure of a sentence, including subtasks of predicate disambiguation and argument labeling.
Seq2seq Dependency Parsing
This paper presents a sequence to sequence (seq2seq) dependency parser by directly predicting the relative position of head for each given word, which therefore results in a truly end-to-end seq2seq dependency parser for the first time.
