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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 401–425 of 620 papers

Title	Date	Tasks	Status
Chinese Semantic Role Labeling using High-quality Syntactic Knowledge	Jul 1, 2015	Chinese Semantic Role LabelingDependency Parsing	—Unverified
Robust Part-of-speech Tagging of Arabic Text	Jul 1, 2015	Machine TranslationMorphological Analysis	—Unverified
Cross-Document Non-Fiction Narrative Alignment	Jul 1, 2015	Graph SimilaritySemantic Role Labeling	—Unverified
Evaluating distributed word representations for capturing semantics of biomedical concepts	Jul 1, 2015	ArticlesChunking	—Unverified
KeLP: a Kernel-based Learning Platform for Natural Language Processing	Jul 1, 2015	Boundary DetectionFeature Engineering	—Unverified
Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation	Jul 1, 2015	ChunkingDependency Parsing	—Unverified
Structured Belief Propagation for NLP	Jul 1, 2015	Dependency ParsingSemantic Role Labeling	—Unverified
NiuParser: A Chinese Syntactic and Semantic Parsing Toolkit	Jul 1, 2015	Chinese Word SegmentationChunking	—Unverified
A Dual-Layer Semantic Role Labeling System	Jul 1, 2015	Feature EngineeringSemantic Role Labeling	—Unverified
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies	Jul 1, 2015	Coreference ResolutionNamed Entity Recognition (NER)	—Unverified
Structural Representations for Learning Relations between Pairs of Texts	Jul 1, 2015	Feature EngineeringNatural Language Inference	—Unverified
Semantic Role Labeling Improves Incremental Parsing	Jul 1, 2015	Information RetrievalMachine Translation	—Unverified
Joint Case Argument Identification for Japanese Predicate Argument Structure Analysis	Jul 1, 2015	Semantic ParsingSemantic Role Labeling	—Unverified
Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling	Jul 1, 2015	Question AnsweringSemantic Role Labeling	—Unverified
End-to-end learning of semantic role labeling using recurrent neural networks	Jul 1, 2015	Semantic ParsingSemantic Role Labeling	—Unverified
Frame-Semantic Role Labeling with Heterogeneous Annotations	Jul 1, 2015	Domain AdaptationSemantic Parsing	—Unverified
Transferring Coreference Resolvers with Posterior Regularization	Jul 1, 2015	Coreference ResolutionDependency Parsing	—Unverified
Open IE as an Intermediate Structure for Semantic Tasks	Jul 1, 2015	Open Information ExtractionReading Comprehension	—Unverified
Improving Chinese-English PropBank Alignment	Jun 1, 2015	Machine TranslationSemantic Role Labeling	—Unverified
Scaling Semantic Frame Annotation	Jun 1, 2015	Machine TranslationSemantic Role Labeling	—Unverified
Bilingual English-Czech Valency Lexicon Linked to a Parallel Corpus	Jun 1, 2015	Machine TranslationSemantic Role Labeling	—Unverified
DeepNL: a Deep Learning NLP pipeline	Jun 1, 2015	Constituency ParsingDeep Learning	—Unverified
DFKI: Multi-objective Optimization for the Joint Disambiguation of Entities and Nouns \& Deep Verb Sense Disambiguation	Jun 1, 2015	Entity LinkingSemantic Role Labeling	—Unverified
SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing	Jun 1, 2015	Dependency ParsingSemantic Dependency Parsing	—Unverified
CMILLS: Adapting Semantic Role Labeling Features to Dependency Parsing	Jun 1, 2015	Dependency ParsingSemantic Role Labeling	—Unverified

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All datasets OntoNotes CoNLL 2005 CoNLL05 Brown CoNLL05 WSJ CoNLL12 CoNLL-2009 CoNLL-2012

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	HeSyFu	F1	88.59	—	Unverified
2	CRF2o + RoBERTa	F1	88.32	—	Unverified
3	MRC-SRL	F1	88.3	—	Unverified
4	ReCAT(pretrained on wikitext103)	F1	88	—	Unverified
5	SRL-MM + XLNet	F1	87.67	—	Unverified
6	CRF2o + BERT	F1	87.66	—	Unverified
7	RoBERTa+RegCCRF	F1	87.51	—	Unverified
8	RoBERTa+CRF	F1	87.27	—	Unverified
9	BiLSTM-Span (Ensemble)	F1	87	—	Unverified
10	BiLSTM-Span	F1	86.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MRC-SRL	F1	90	—	Unverified
2	SRL-MM + XLNet	F1	89.8	—	Unverified
3	CRF2o + RoBERTa	F1	89.54	—	Unverified
4	HeSyFu	F1	89.04	—	Unverified
5	CRF2o + BERT	F1	89.03	—	Unverified
6	Mohammadshahi and Henderson (2021)	F1	88.93	—	Unverified
7	BiLSTM-Span (Ensemble, predicates given)	F1	88.5	—	Unverified
8	CRF2o	F1	87.87	—	Unverified
9	Li et al. (2019) (Ensemble)	F1	87.7	—	Unverified
10	BiLSTM-Span	F1	87.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeepStruct multi-task w/ finetune	F1	92.1	—	Unverified
2	DeepStruct multi-task	F1	92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeepStruct multi-task	F1	95.5	—	Unverified
2	DeepStruct multi-task w/ finetune	F1	95.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeepStruct multi-task	F1	97.2	—	Unverified
2	DeepStruct multi-task w/ finetune	F1	96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Ours (High-Order model)	F1 (Arg.)	90.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HeSyFu	Avg. F1	88.59	—	Unverified