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
Going beyond sentences when applying tree kernels—0
Statistical Models for Frame-Semantic Parsing—0
Pattern Dictionary of English Prepositions—0
Semantic Frame Identification with Distributed Word Representations—0
Linguistic Considerations in Automatic Question Generation—0
Intermediary Semantic Representation through Proposition Structures—0
Semantic Role Labeling of Emotions in Tweets—0
A Robust Approach to Aligning Heterogeneous Lexical Resources—0
Recognizing Implied Predicate-Argument Relationships in Textual Inference—0
Training a Korean SRL System with Rich Morphological Features—0
SemLink+: FrameNet, VerbNet and Event Ontologies—0
Verbal Valency Frame Detection and Selection in Czech and English—0
Cross-lingual Model Transfer Using Feature Representation Projection—0
Descending-Path Convolution Kernel for Syntactic Structures—0
Dependency parsing representation effects on the accuracy of semantic applications --- an example of an inflective language—0
REFRACTIVE: An Open Source Tool to Extract Knowledge from Syntactic and Semantic Relations—0
Adapting VerbNet to French using existing resources—0
Adapting a part-of-speech tagset to non-standard text: The case of STTS—0
First approach toward Semantic Role Labeling for Basque—0
Using C5.0 and Exhaustive Search for Boosting Frame-Semantic Parsing Accuracy—0
Predicate Matrix: extending SemLink through WordNet mappings—0
Focusing Annotation for Semantic Role Labeling—0
On the reliability and inter-annotator agreement of human semantic MT evaluation via HMEANT—0
Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech—0
DerivBase.hr: A High-Coverage Derivational Morphology Resource for Croatian—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