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 471–480 of 620 papers

Title	Date	Tasks	Status
Semantic Role Labeling of NomBank Partitives	Dec 18, 2024	Semantic Role Labeling	—Unverified
Semantic role labeling tools for biomedical question answering: a study of selected tools on the BioASQ datasets	Nov 1, 2018	Named Entity Recognition (NER)Part-Of-Speech Tagging	—Unverified
Using distributed word representations for robust semantic role labeling (Utilisation de repr\'esentations de mots pour l'\'etiquetage de r\^oles s\'emantiques suivant FrameNet) [in French]	Jul 1, 2014	Semantic Role Labeling	—Unverified
Using Morphosemantic Information in Construction of a Pilot Lexical Semantic Resource for Turkish	Aug 1, 2014	Semantic Role LabelingWord Sense Disambiguation	—Unverified
Using Positional Suffix Trees to Perform Agile Tree Kernel Calculation	May 1, 2015	Named Entity Recognition (NER)Relation Extraction	—Unverified
Semantic Role Labeling with Neural Network Factors	Sep 1, 2015	Semantic Role LabelingSemantic Textual Similarity	—Unverified
Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates	Sep 1, 2019	ClassificationGeneral Classification	—Unverified
Semantic Role Labeling with the Swedish FrameNet	May 1, 2012	Semantic Role Labeling	—Unverified
Semantic Roles for String to Tree Machine Translation	Aug 1, 2013	Machine TranslationSemantic Role Labeling	—Unverified
Using Semantic Role Labeling to Improve Neural Machine Translation	Jun 1, 2022	Machine TranslationNMT	—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