Relation Extraction

Relation Extraction is the task of predicting attributes and relations for entities in a sentence. For example, given a sentence “Barack Obama was born in Honolulu, Hawaii.”, a relation classifier aims at predicting the relation of “bornInCity”. Relation Extraction is the key component for building relation knowledge graphs, and it is of crucial significance to natural language processing applications such as structured search, sentiment analysis, question answering, and summarization.

Source: Deep Residual Learning for Weakly-Supervised Relation Extraction

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1201–1225 of 1977 papers

Title	Date	Tasks	Status	Hype
Bacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs	Nov 1, 2019	graph constructionRelation	—Unverified	0
Extracting Complex Relations from Banking Documents	Nov 1, 2019	RelationRelation Extraction	—Unverified	0
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning	Nov 1, 2019	Drug DiscoveryMulti-Task Learning	—Unverified	0
DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature	Nov 1, 2019	Drug DiscoveryMulti-Task Learning	—Unverified	0
An Overview of the Active Gene Annotation Corpus and the BioNLP OST 2019 AGAC Track Tasks	Nov 1, 2019	named-entity-recognitionNamed Entity Recognition	CodeCode Available	0
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information	Nov 1, 2019	Multi-Task LearningNER	—Unverified	0
Integration of Deep Learning and Traditional Machine Learning for Knowledge Extraction from Biomedical Literature	Nov 1, 2019	BIG-bench Machine LearningMedical Concept Normalization	—Unverified	0
Distant Supervised Relation Extraction with Separate Head-Tail CNN	Nov 1, 2019	RelationRelation Extraction	—Unverified	0
Recognizing UMLS Semantic Types with Deep Learning	Nov 1, 2019	Deep LearningEntity Linking	—Unverified	0
Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction	Nov 1, 2019	Dependency ParsingDrug–drug Interaction Extraction	—Unverified	0
A Constituency Parsing Tree based Method for Relation Extraction from Abstracts of Scholarly Publications	Nov 1, 2019	Constituency ParsingRelation	—Unverified	0
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping	Oct 31, 2019	RelationRelation Extraction	—Unverified	0
Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels	Oct 28, 2019	Relation ExtractionTransfer Learning	—Unverified	0
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models	Oct 25, 2019	Feature EngineeringInformation Retrieval	CodeCode Available	0
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion	Oct 17, 2019	RelationRelation Extraction	—Unverified	0
Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding	Oct 9, 2019	AttributeGraph Attention	—Unverified	0
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019	Oct 8, 2019	Binary Relation Extractionnamed-entity-recognition	CodeCode Available	0
Improving Relation Extraction with Knowledge-attention	Oct 7, 2019	RelationRelation Extraction	—Unverified	0
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models	Oct 3, 2019	Entity LinkingRelation Extraction	—Unverified	0
MTab: Matching Tabular Data to Knowledge Graph using Probability Models	Oct 1, 2019	Entity TypingGraph Matching	CodeCode Available	0
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction	Sep 28, 2019	Information RetrievalQuestion Answering	CodeCode Available	2
Biomedical relation extraction with pre-trained language representations and minimal task-specific architecture	Sep 26, 2019	Language ModelingLanguage Modelling	—Unverified	0
Fine-tune Bert for DocRED with Two-step Process	Sep 26, 2019	Document-level Relation ExtractionLanguage Modeling	CodeCode Available	0
Deep Structured Neural Network for Event Temporal Relation Extraction	Sep 22, 2019	RelationRelation Extraction	CodeCode Available	0
Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content Retrieval	Sep 20, 2019	RelationRelation Extraction	CodeCode Available	1

Show:10 25 50

← PrevPage 49 of 80Next →

All datasets DocRED TACRED SemEval-2010 Task-8 ACE 2005 CoNLL04 Adverse Drug Events (ADE) Corpus WebNLG ChemProt ACE 2004 NYT11-HRL CDR GDA

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DREEAM	F1	67.53	—	Unverified
2	KD-Rb-l	F1	67.28	—	Unverified
3	SSAN-RoBERTa-large+Adaptation	F1	65.92	—	Unverified
4	SAIS-RoBERTa-large	F1	65.11	—	Unverified
5	Eider-RoBERTa-large	F1	64.79	—	Unverified
6	DocuNet-RoBERTa-large	F1	64.55	—	Unverified
7	CGM2IR-RoBERTalarge	F1	63.89	—	Unverified
8	SETE-Roberta-large	F1	63.74	—	Unverified
9	ATLOP-RoBERTa-large	F1	63.4	—	Unverified
10	DRE-MIR-BERTbase	F1	63.15	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RAG4RE	F1	86.6	—	Unverified
2	DeepStruct multi-task w/ finetune	F1	76.8	—	Unverified
3	UNiST (LARGE)	F1	75.5	—	Unverified
4	RE-MC	F1	75.4	—	Unverified
5	GenPT (T5)	F1	75.3	—	Unverified
6	RECENT+SpanBERT	F1	75.2	—	Unverified
7	SuRE (PEGASUS-large)	F1	75.1	—	Unverified
8	EXOBRAIN	F1	75	—	Unverified
9	Relation Reduction	F1	74.8	—	Unverified
10	RoBERTa-large-typed-marker	F1	74.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SP	F1	91.9	—	Unverified
2	RIFRE	F1	91.3	—	Unverified
3	REDN	F1	91	—	Unverified
4	SPOT	F1	90.6	—	Unverified
5	KLG	F1	90.5	—	Unverified
6	RELA	F1	90.4	—	Unverified
7	Skeleton-Aware BERT	F1	90.36	—	Unverified
8	KnowPrompt	F1	90.3	—	Unverified
9	LUKE	F1	90.3	—	Unverified
10	EPGNN	F1	90.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Span-level	NER Micro F1	85.98	—	Unverified
2	Dual Pointer Network(multi-head)	Relation classification F1	80.8	—	Unverified
3	Dual Pointer Network	Relation classification F1	80.5	—	Unverified
4	PL-Marker	RE Micro F1	73	—	Unverified
5	ASP+T5-3B	RE Micro F1	72.7	—	Unverified
6	GoLLIE	RE Micro F1	70.1	—	Unverified
7	Ours: cross-sentence ALB	RE Micro F1	69.4	—	Unverified
8	MGE	RE+ Micro F1	68.2	—	Unverified
9	HySPA (ours) w/ RoBERTa	Relation F1	68.2	—	Unverified
10	RNN+CNN	Relation classification F1	67.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ReLiK-Large	RE+ Micro F1	78.1	—	Unverified
2	REBEL	RE+ Macro F1	76.65	—	Unverified
3	ASP+T0-3B	RE+ Micro F1	76.3	—	Unverified
4	Table-Sequence	RE+ Macro F1	75.4	—	Unverified
5	SpERT	RE+ Macro F1	72.87	—	Unverified
6	Deeper	RE+ Macro F1	72.63	—	Unverified
7	TANL	RE+ Micro F1	72.6	—	Unverified
8	TablERT	RE+ Micro F1	72.6	—	Unverified
9	TriMF	RE+ Micro F1	72.35	—	Unverified
10	Multi-turn QA	RE+ Micro F1	68.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PFN (ALBERT XXL, average aggregation)	RE+ Macro F1	83.9	—	Unverified
2	Deeper	RE+ Macro F1	83.74	—	Unverified
3	PFN (ALBERT XXL, no aggregation)	RE+ Macro F1	83.2	—	Unverified
4	SpERT.PL (without overlap and BioBERT)	RE+ Macro F1	82.39	—	Unverified
5	REBEL (including overlapping entities)	RE+ Macro F1	82.2	—	Unverified
6	SpERT.PL (with overlap and BioBERT)	RE+ Macro F1	82.03	—	Unverified
7	CMAN	RE+ Macro F1	81.14	—	Unverified
8	Table-Sequence	RE+ Macro F1	80.1	—	Unverified
9	CLDR + CLNER	RE+ Macro F1	79.97	—	Unverified
10	SpERT (without overlap)	RE+ Macro F1	79.24	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniRel	F1	94.7	—	Unverified
2	PFN	F1	93.6	—	Unverified
3	SPN	F1	93.4	—	Unverified
4	TDEER	F1	93.1	—	Unverified
5	RIFRE	F1	92.6	—	Unverified
6	TPLinker	F1	91.9	—	Unverified
7	HBT (CasRel)	F1	91.8	—	Unverified
8	RIN (BERT, K=2)	F1	90.1	—	Unverified
9	CGT(UniLM)	F1	83.4	—	Unverified