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 426–450 of 620 papers

Title	Date	Tasks	Status
DFKI: Multi-objective Optimization for the Joint Disambiguation of Entities and Nouns \& Deep Verb Sense Disambiguation	Jun 1, 2015	Entity LinkingSemantic Role Labeling	—Unverified
A Distant Supervision Approach to Semantic Role Labeling	Jun 1, 2015	Machine TranslationQuestion Answering	—Unverified
Towards a Better Semantic Role Labeling of Complex Predicates	Jun 1, 2015	Question AnsweringSemantic Role Labeling	—Unverified
Improving Chinese-English PropBank Alignment	Jun 1, 2015	Machine TranslationSemantic Role Labeling	—Unverified
Book Reviews: Ontology-Based Interpretation of Natural Language by Philipp Cimiano, Christina Unger and John McCrae	Jun 1, 2015	Semantic ParsingSemantic Role Labeling	—Unverified
SpRL-CWW: Spatial Relation Classification with Independent Multi-class Models	Jun 1, 2015	ClassificationGeneral Classification	—Unverified
DeepNL: a Deep Learning NLP pipeline	Jun 1, 2015	Constituency ParsingDeep Learning	—Unverified
SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing	Jun 1, 2015	Dependency ParsingSemantic Dependency Parsing	—Unverified
Duluth: Word Sense Discrimination in the Service of Lexicography	Jun 1, 2015	ChunkingSemantic Role Labeling	—Unverified
Bilingual English-Czech Valency Lexicon Linked to a Parallel Corpus	Jun 1, 2015	Machine TranslationSemantic Role Labeling	—Unverified
Can Selectional Preferences Help Automatic Semantic Role Labeling?	Jun 1, 2015	Semantic Role Labeling	—Unverified
Inferring Temporally-Anchored Spatial Knowledge from Semantic Roles	May 1, 2015	Semantic Role LabelingSentence	—Unverified
Getting the Roles Right: Using FrameNet in NLP	May 1, 2015	Semantic Role Labelingtext annotation	—Unverified
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval	May 1, 2015	Domain Adaptationdomain classification	—Unverified
High-Order Low-Rank Tensors for Semantic Role Labeling	May 1, 2015	Dependency ParsingDimensionality Reduction	—Unverified
Using Positional Suffix Trees to Perform Agile Tree Kernel Calculation	May 1, 2015	Named Entity Recognition (NER)Relation Extraction	—Unverified
Instrument subjects without Instrument role	Apr 1, 2015	Semantic Role Labeling	—Unverified
Parsing Software Requirements with an Ontology-based Semantic Role Labeler	Apr 1, 2015	Semantic ParsingSemantic Role Labeling	—Unverified
Efficient Inference and Structured Learning for Semantic Role Labeling	Jan 1, 2015	Semantic ParsingSemantic Role Labeling	—Unverified
Problems in Current Text Simplification Research: New Data Can Help	Jan 1, 2015	Machine TranslationSemantic Role Labeling	—Unverified
Context-aware Frame-Semantic Role Labeling	Jan 1, 2015	Question AnsweringScene Generation	CodeCode Available
Semantic Proto-Roles	Jan 1, 2015	Semantic Role Labeling	—Unverified
Inducing Semantic Representation from Text by Jointly Predicting and Factorizing Relations	Dec 19, 2014	Semantic Role Labeling	—Unverified
Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework	Dec 8, 2014	Semantic Role Labeling	—Unverified
A Shortest-path Method for Arc-factored Semantic Role Labeling	Oct 1, 2014	ARCSemantic 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