Papers with Code · CC BY-SA 4.0

Semantic Role Labeling

57 평가 기록 12 datasets

Semantic role labeling aims to model the predicate-argument structure of a sentence and is often described as answering "Who did what to whom". BIO notation is typically used for semantic role labeling.

Example:

Housing	starts	are	expected	to	quicken	a	bit	from	August’s	pace
B-ARG1	I-ARG1	O	O	O	V	B-ARG2	I-ARG2	B-ARG3	I-ARG3	I-ARG3

논문

Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments

2110.06865 2021-10-13 이 페이지의 평가 6건

F1: 88.32

DeepStruct: Pretraining of Language Models for Structure Prediction

2205.10475 2022-05-21 이 페이지의 평가 4건

F1: 92.1

A Span Selection Model for Semantic Role Labeling

1810.02245 2018-10-04 이 페이지의 평가 3건

F1: 87.0

An MRC Framework for Semantic Role Labeling

2109.06660 2021-09-14 이 페이지의 평가 2건

F1: 88.3

Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling

이 페이지의 평가 2건

F1: 88.59

Constraining Linear-chain CRFs to Regular Languages

2106.07306 2021-06-14 이 페이지의 평가 2건

F1: 87.51

Dependency or Span, End-to-End Uniform Semantic Role Labeling

1901.05280 2019-01-16 이 페이지의 평가 2건

F1: 86.0

Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling

1805.04787 2018-05-12 이 페이지의 평가 2건

F1: 85.5

Syntax-driven Approach for Semantic Role Labeling

이 페이지의 평가 2건

F1: 87.67

Augmenting Transformers with Recursively Composed Multi-grained Representations

2309.16319 2023-09-28 이 페이지의 평가 1건

F1: 88.0

Deep contextualized word representations

1802.05365 2018-02-15 이 페이지의 평가 1건

F1: 84.6

Deep Semantic Role Labeling with Self-Attention

1712.01586 2017-12-05 이 페이지의 평가 1건

F1: 82.7

Deep Semantic Role Labeling: What Works and What's Next

2017-07-01 이 페이지의 평가 1건

F1: 81.7

Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling

2104.07704 2021-04-15 이 페이지의 평가 1건

F1: 88.93