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 226–250 of 620 papers

Title	Date	Tasks	Status	Hype
Predicting the Argumenthood of English Prepositional Phrases	Sep 20, 2018	DiagnosticPrediction	—Unverified	0
Explicit Contextual Semantics for Text Comprehension	Sep 8, 2018	Machine Reading ComprehensionNatural Language Understanding	—Unverified	0
Attentive Semantic Role Labeling with Boundary Indicator	Sep 8, 2018	Semantic Role LabelingSentence	—Unverified	0
Affordance Extraction and Inference based on Semantic Role Labeling	Sep 3, 2018	Common Sense ReasoningSemantic Role Labeling	—Unverified	0
Towards Semi-Supervised Learning for Deep Semantic Role Labeling	Aug 28, 2018	Semantic Role Labeling	—Unverified	0
Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data	Aug 28, 2018	Semantic ParsingSemantic Role Labeling	CodeCode Available	0
Computing Word Classes Using Spectral Clustering	Aug 16, 2018	ClusteringDependency Parsing	—Unverified	0
A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware?	Aug 11, 2018	DecoderSemantic Role Labeling	CodeCode Available	0
Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child Interactions	Aug 1, 2018	Language AcquisitionPart-Of-Speech Tagging	CodeCode Available	0
Frame Semantics across Languages: Towards a Multilingual FrameNet	Aug 1, 2018	Question AnsweringSemantic Parsing	—Unverified	0
Automatically Extracting Qualia Relations for the Rich Event Ontology	Aug 1, 2018	Semantic Role LabelingWorld Knowledge	—Unverified	0
Data-Driven Text Simplification	Aug 1, 2018	Lexical SimplificationMachine Translation	—Unverified	0
A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?	Aug 1, 2018	DecoderMachine Translation	—Unverified	0
A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages	Aug 1, 2018	Feature EngineeringSemantic Role Labeling	—Unverified	0
What's in Your Embedding, And How It Predicts Task Performance	Aug 1, 2018	Named Entity Recognition (NER)Semantic Role Labeling	—Unverified	0
Local String Transduction as Sequence Labeling	Aug 1, 2018	LemmatizationMachine Translation	—Unverified	0
A New Approach to Animacy Detection	Aug 1, 2018	Coreference ResolutionSemantic Role Labeling	—Unverified	0
Knowledge Representation and Extraction at Scale	Aug 1, 2018	ArticlesGeneral Knowledge	—Unverified	0
A Sequence-to-Sequence Model for Semantic Role Labeling	Jul 9, 2018	BenchmarkingSemantic Role Labeling	—Unverified	0
Syntax for Semantic Role Labeling, To Be, Or Not To Be	Jul 1, 2018	Dependency ParsingFeature Engineering	CodeCode Available	0
Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets	Jul 1, 2018	Abuse DetectionChunking	—Unverified	0
German and French Neural Supertagging Experiments for LTAG Parsing	Jul 1, 2018	Dependency ParsingSemantic Parsing	—Unverified	0
The Natural Language Decathlon: Multitask Learning as Question Answering	Jun 20, 2018	DecoderDomain Adaptation	CodeCode Available	1
Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus	Jun 5, 2018	Active LearningMulti-Task Learning	—Unverified	0
A Semantic Role-based Approach to Open-Domain Automatic Question Generation	Jun 1, 2018	Dependency ParsingQuestion Generation	—Unverified	0

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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