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 101–150 of 620 papers

TitleStatusHype
Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes—0
Modeling Syntactic-Semantic Dependency Correlations in Semantic Role Labeling Using Mixture ModelsCode0
Fine-tuning and Sampling Strategies for Multimodal Role Labeling of Entities under Class Imbalance—0
Probing for Predicate Argument Structures in Pretrained Language ModelsCode0
Zero-shot Cross-lingual Conversational Semantic Role LabelingCode0
Fast and Accurate Span-based Semantic Role Labeling as Graph Parsing—0
An MRC Framework for Semantic Role Labeling—0
Toward Automatic Misinformation Detection Utilizing Fact-checked Information—0
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP—0
Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments—0
AMRize, then Parse! Enhancing AMR Parsing with PseudoAMR Data—0
Remove Noise and Keep Truth: A Noisy Channel Model for Semantic Role Labeling—0
Zero-shot Cross-lingual Conversational Semantic Role Labeling—0
Learning Disentangled Representations in Natural Language Definitions with Semantic Role Labeling Supervision—0
Common Sense Bias 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
InVeRo-XL: Making Cross-Lingual Semantic Role Labeling Accessible with Intelligible Verbs and Roles—0
Syntax in End-to-End Natural Language Processing—0
On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role LabelingCode0
Context or No Context? A preliminary exploration of human-in-the-loop approach for Incremental Temporal Summarization in meetings—0
Interpretable Semantic Role Relation Table for Supporting Facts Recognition of Reading Comprehension—0
Text Simplification for Comprehension-based Question-AnsweringCode0
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role LabelingCode0
Sister Help: Data Augmentation for Frame-Semantic Role LabelingCode0
Improving Unsupervised Question Answering via Summarization-Informed Question Generation—0
Comparing Span Extraction Methods for Semantic Role LabelingCode0
Argument Linking: A Survey and Forecast—0
Constraining Linear-chain CRFs to Regular LanguagesCode0
Deep Learning on Graphs for Natural Language Processing—0
Predicate Representations and Polysemy in VerbNet Semantic ParsingCode0
Tuning Deep Active Learning for Semantic Role Labeling—0
Encoder-decoder based unified semantic role labeling with label-aware syntaxCode0
Neural Unsupervised Semantic Role Labeling—0
Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights—0
Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling—0
Conversational Semantic Role Labeling—0
Extracting Semantic Process Information from the Natural Language in Event Logs—0
Multi-document Summarization using Semantic Role Labeling and Semantic Graph for Indonesian News Article—0
Hierarchical Multitask Learning with Dependency Parsing for Japanese Semantic Role Labeling Improves Performance of Argument Identification—0
End-to-end Semantic Role Labeling with Neural Transition-based ModelCode0
Adaptive Convolution for Semantic Role Labeling—0
Semantic Role Labeling with Heterogeneous Syntactic KnowledgeCode0
Encoding Syntactic Constituency Paths for Frame-Semantic Parsing with Graph Convolutional Networks—0
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling—0
Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?—0
A Semantics-based Approach to Disclosure Classification in User-Generated Online Content—0
LIMIT-BERT : Linguistics Informed Multi-Task BERTCode0
Alignment-free Cross-lingual Semantic Role Labeling—0
A Novel Workflow for Accurately and Efficiently Crowdsourcing Predicate Senses and Argument LabelsCode0
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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