SOTAVerified

Semantic Role Labeling

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 |

Papers

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Showing 51–100 of 620 papers

TitleStatusHype
Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling—0
Semantic Role Labeling for Sentiment Inference: A Case Study—0
Heterogeneous Line Graph Transformer for Math Word Problems—0
Label Definitions Improve Semantic Role LabelingCode0
PropBank Comes of Age—Larger, Smarter, and more Diverse—0
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing ModelCode2
Syntax-driven Approach for Semantic Role LabelingCode0
Using Semantic Role Labeling to Improve Neural Machine Translation—0
Universal Proposition Bank 2.0—0
Universal Semantic Annotator: the First Unified API for WSD, SRL and Semantic Parsing—0
The Robotic Surgery Procedural FramebankCode0
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument RolesCode1
DeepStruct: Pretraining of Language Models for Structure PredictionCode1
Transition-based Semantic Role Labeling with Pointer NetworksCode0
MuCPAD: A Multi-Domain Chinese Predicate-Argument DatasetCode0
A Structured Span SelectorCode1
Modeling Syntactic-Semantic Dependency Correlations in Semantic Role Labeling Using Mixture ModelsCode0
Probing for Predicate Argument Structures in Pretrained Language ModelsCode0
SRL4E – Semantic Role Labeling for Emotions: A Unified Evaluation FrameworkCode1
Fine-tuning and Sampling Strategies for Multimodal Role Labeling of Entities under Class Imbalance—0
Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes—0
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRsCode1
Zero-shot Cross-lingual Conversational Semantic Role LabelingCode0
Toward Automatic Misinformation Detection Utilizing Fact-checked Information—0
An MRC Framework for Semantic Role Labeling—0
Fast and Accurate Span-based Semantic Role Labeling as Graph Parsing—0
Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph ParsingCode1
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP—0
Learning Disentangled Representations in Natural Language Definitions with Semantic Role Labeling Supervision—0
AMRize, then Parse! Enhancing AMR Parsing with PseudoAMR Data—0
Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments—0
Zero-shot Cross-lingual Conversational Semantic Role Labeling—0
Remove Noise and Keep Truth: A Noisy Channel Model for Semantic Role Labeling—0
Syntax in End-to-End Natural Language Processing—0
Common Sense Bias in Semantic Role LabelingCode0
Context or No Context? A preliminary exploration of human-in-the-loop approach for Incremental Temporal Summarization in meetings—0
InVeRo-XL: Making Cross-Lingual Semantic Role Labeling Accessible with Intelligible Verbs and Roles—0
On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role LabelingCode0
UniteD-SRL: A Unified Dataset for Span- and Dependency-Based Multilingual and Cross-Lingual Semantic Role LabelingCode0
Can predicate-argument relationships be extracted from UD trees?—0
Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside ArgumentsCode1
Interpretable Semantic Role Relation Table for Supporting Facts Recognition of Reading Comprehension—0
Text Simplification for Comprehension-based Question-AnsweringCode0
A Graph-Based Neural Model for End-to-End Frame Semantic ParsingCode1
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role LabelingCode0
Finding a Balanced Degree of Automation for Summary EvaluationCode1
Sister Help: Data Augmentation for Frame-Semantic Role LabelingCode0
Improving Unsupervised Question Answering via Summarization-Informed Question Generation—0
An MRC Framework for Semantic Role LabelingCode1
ELIT: Emory Language and Information ToolkitCode1
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All datasetsOntoNotesCoNLL 2005CoNLL05 BrownCoNLL05 WSJCoNLL12CoNLL-2009CoNLL-2012

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HeSyFuF188.59—Unverified
2CRF2o + RoBERTaF188.32—Unverified
3MRC-SRLF188.3—Unverified
4ReCAT(pretrained on wikitext103)F188—Unverified
5SRL-MM + XLNetF187.67—Unverified
6CRF2o + BERTF187.66—Unverified
7RoBERTa+RegCCRFF187.51—Unverified
8RoBERTa+CRFF187.27—Unverified
9BiLSTM-Span (Ensemble)F187—Unverified
10BiLSTM-SpanF186.2—Unverified
#ModelMetricClaimedVerifiedStatus
1MRC-SRLF190—Unverified
2SRL-MM + XLNetF189.8—Unverified
3CRF2o + RoBERTaF189.54—Unverified
4HeSyFuF189.04—Unverified
5CRF2o + BERTF189.03—Unverified
6Mohammadshahi and Henderson (2021)F188.93—Unverified
7BiLSTM-Span (Ensemble, predicates given)F188.5—Unverified
8CRF2oF187.87—Unverified
9Li et al. (2019) (Ensemble)F187.7—Unverified
10BiLSTM-SpanF187.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF192.1—Unverified
2DeepStruct multi-taskF192—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF195.5—Unverified
2DeepStruct multi-task w/ finetuneF195.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskF197.2—Unverified
2DeepStruct multi-task w/ finetuneF196—Unverified
#ModelMetricClaimedVerifiedStatus
1Ours (High-Order model)F1 (Arg.)90.2—Unverified
#ModelMetricClaimedVerifiedStatus
1HeSyFuAvg. F188.59—Unverified