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 476–500 of 620 papers

TitleStatusHype
Semantic Role Labeling with Neural Network Factors—0
Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates—0
Semantic Role Labeling with the Swedish FrameNet—0
Semantic Roles for String to Tree Machine Translation—0
Using Semantic Role Labeling to Improve Neural Machine Translation—0
Semantics, Discourse and Statistical Machine Translation—0
SemEval-2012 Task 5: Chinese Semantic Dependency Parsing—0
SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity—0
SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing—0
Semi-automatically Alignment of Predicates between Speech and OntoNotes data—0
Semi-automatic Korean FrameNet Annotation over KAIST Treebank—0
Semi-Supervised Semantic Role Labeling: Approaching from an Unsupervised Perspective—0
Semi-Supervised Semantic Role Labeling via Structural Alignment—0
Semi-Supervised Semantic Role Labeling with Cross-View Training—0
SemLink+: FrameNet, VerbNet and Event Ontologies—0
Sentence Embedding Evaluation Using Pyramid Annotation—0
Sentence Parsing with Double Sequential Labeling in Traditional Chinese Parsing Task—0
Sentence Simplification by Monolingual Machine Translation—0
Similarity-Driven Semantic Role Induction via Graph Partitioning—0
Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text—0
UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports—0
UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation—0
Skip-Prop: Representing Sentences with One Vector Per Proposition—0
Heterogeneous Line Graph Transformer for Math Word Problems—0
Some Issues on the Normalization of a Corpus of Products Reviews in Portuguese—0
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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