Semantic role labeling as dependency parsing: Exploring latent tree structures inside arguments
Semantic role labeling (SRL) is a fundamental yet challenging task in the NLP community.
Recent works of SRL mainly fall into two lines: 1) BIO-based; 2) span-based. Despite …
Recent works of SRL mainly fall into two lines: 1) BIO-based; 2) span-based. Despite …
Syntax-driven approach for semantic role labeling
As an important task to analyze the semantic structure of a sentence, semantic role labeling
(SRL) aims to locate the semantic role (eg, agent) of noun phrases with respect to a given …
(SRL) aims to locate the semantic role (eg, agent) of noun phrases with respect to a given …
Syntax-aware graph-to-graph transformer for semantic role labelling
A Mohammadshahi, J Henderson - arXiv preprint arXiv:2104.07704, 2021 - arxiv.org
Recent models have shown that incorporating syntactic knowledge into the semantic role
labelling (SRL) task leads to a significant improvement. In this paper, we propose Syntax …
labelling (SRL) task leads to a significant improvement. In this paper, we propose Syntax …
Pilot testing the SUCCESS peer mentoring program for students with concussion: the role of personas in mobile technology development
Purpose College students with concussion experience academic, cognitive and
psychosocial challenges, yet frequently lack supports necessary for successful reintegration …
psychosocial challenges, yet frequently lack supports necessary for successful reintegration …
Fast and accurate end-to-end span-based semantic role labeling as word-based graph parsing
This paper proposes to cast end-to-end span-based SRL as a word-based graph parsing
task. The major challenge is how to represent spans at the word level. Borrowing ideas from …
task. The major challenge is how to represent spans at the word level. Borrowing ideas from …
Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role Labeling
In this work, we enhance higher-order graph-based approaches for span-based semantic
role labeling (SRL) by means of structured modeling. To decrease the complexity of higher …
role labeling (SRL) by means of structured modeling. To decrease the complexity of higher …
Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling
Abstract Semantic Role Labeling (SRL) is the task of labeling semantic arguments for
marked semantic predicates. Semantic arguments and their predicates are related in various …
marked semantic predicates. Semantic arguments and their predicates are related in various …
On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling
Although recent developments in neural architectures and pre-trained representations have
greatly increased state-of-the-art model performance on fully-supervised semantic role …
greatly increased state-of-the-art model performance on fully-supervised semantic role …