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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 620 papers

TitleStatusHype
Identifying economic narratives in large text corpora -- An integrated approach using Large Language Models—0
FRASE: Structured Representations for Generalizable SPARQL Query Generation—0
Active Data Sampling and Generation for Bias Remediation—0
Semantic Role Labeling: A Systematical SurveyCode1
Semantic Role Labeling of NomBank Partitives—0
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario ContextCode0
Unlocking Korean Verbs: A User-Friendly Exploration into the Verb Lexicon—0
A New Method for Cross-Lingual-based Semantic Role Labeling—0
Effectively Leveraging CLIP for Generating Situational Summaries of Images and VideosCode0
DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection—0
Annotating FrameNet via Structure-Conditioned Language GenerationCode0
An Analysis under a Unified Fomulation of Learning Algorithms with Output Constraints—0
Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRL—0
SRTube: Video-Language Pre-Training with Action-Centric Video Tube Features and Semantic Role Labeling—0
The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP—0
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse FinetuningCode0
Extracting Entities of Interest from Comparative Product ReviewsCode0
Augmenting Transformers with Recursively Composed Multi-grained RepresentationsCode1
Speaker attribution in German parliamentary debates with QLoRA-adapted large language modelsCode0
CVE-driven Attack Technique Prediction with Semantic Information Extraction and a Domain-specific Language Model—0
Is Argument Structure of Learner Chinese Understandable: A Corpus-Based Analysis—0
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling—0
Improving Aspect-Based Sentiment with End-to-End Semantic Role Labeling ModelCode0
Discovering collective narratives shifts in online discussionsCode0
Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and Opportunities—0
Show:102550
← PrevPage 1 of 25Next →
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