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 261–270 of 620 papers

Title	Date	Tasks	Status
Hierarchical Recurrent Neural Network for Document Modeling	Sep 1, 2015	ChunkingLanguage Modelling	—Unverified
Corpus-Driven Thematic Hierarchy Induction	Oct 1, 2018	Machine TranslationQuestion Answering	—Unverified
Hierarchical Multitask Learning with Dependency Parsing for Japanese Semantic Role Labeling Improves Performance of Argument Identification	Jan 15, 2021	Dependency ParsingSemantic Role Labeling	—Unverified
Handling Ambiguities of Bilingual Predicate-Argument Structures for Statistical Machine Translation	Aug 1, 2013	Machine TranslationSemantic Role Labeling	—Unverified
Corpora Annotated with Negation: An Overview	Mar 1, 2020	NegationSemantic Role Labeling	—Unverified
Assessing the performance of Olelo, a real-time biomedical question answering application	Aug 1, 2017	Document SummarizationInformation Retrieval	—Unverified
High-order Refining for End-to-end Chinese Semantic Role Labeling	Sep 15, 2020	AllChinese Semantic Role Labeling	—Unverified
``Could you make me a favour and do coffee, please?'': Implications for Automatic Error Correction in English and Dutch	Jul 1, 2012	Semantic Role Labeling	—Unverified
High Performance Word Sense Alignment by Joint Modeling of Sense Distance and Gloss Similarity	Aug 1, 2014	Semantic Role LabelingWord Sense Disambiguation	—Unverified
HYENA-live: Fine-Grained Online Entity Type Classification from Natural-language Text	Aug 1, 2013	General ClassificationMulti-Label Classification	—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