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Found 12 papers, 8 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.
Dependency and Span, Cross-Style Semantic Role Labeling on PropBank and NomBank
In this paper, we define a new cross-style semantic role label convention and propose a new cross-style joint optimization model designed around the most basic linguistic meaning of a semantic role, providing a solution to make the results of the two styles more comparable and allowing both formalisms of SRL to benefit from their natural connections in both linguistics and computation.
Syntax-aware Multilingual Semantic Role Labeling
Recently, semantic role labeling (SRL) has earned a series of success with even higher performance improvements, which can be mainly attributed to syntactic integration and enhanced word representation.
Dependency or Span, End-to-End Uniform Semantic Role Labeling
Semantic role labeling (SRL) aims to discover the predicateargument structure of a sentence.
Ranked #9 on
Semantic Role Labeling
on CoNLL 2005
Effective Subword Segmentation for Text Comprehension
Representation learning is the foundation of machine reading comprehension and inference.
Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing
This paper describes the system of team LeisureX in the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies.
A Unified Syntax-aware Framework for Semantic Role Labeling
Semantic role labeling (SRL) aims to recognize the predicate-argument structure of a sentence.
Attentive Semantic Role Labeling with Boundary Indicator
The goal of semantic role labeling (SRL) is to discover the predicate-argument structure of a sentence, which plays a critical role in deep processing of natural language.
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.
Syntax for Semantic Role Labeling, To Be, Or Not To Be
Semantic role labeling (SRL) is dedicated to recognizing the predicate-argument structure of a sentence.
