SOTAVerified

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

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Showing 951–1000 of 1977 papers

TitleStatusHype
GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction—0
Entity and Evidence Guided Document-Level Relation Extraction—0
DPR at SemEval-2021 Task 8: Dynamic Path Reasoning for Measurement Relation Extraction—0
Multi-Scale Feature and Metric Learning for Relation Extraction—0
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation ExtractionCode0
Improving Sentence-Level Relation Extraction through Curriculum Learning—0
EIDER: Evidence-enhanced Document-level Relation Extraction—0
Multimodal Graph-based Transformer Framework for Biomedical Relation ExtractionCode0
A Simple and Efficient Probabilistic Language model for Code-Mixed Text—0
KnowFi: Knowledge Extraction from Long Fictional Texts—0
Open Temporal Relation Extraction for Question Answering—0
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial TrainingCode0
Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter—0
Graph-based Joint Pandemic Concern and Relation Extraction on Twitter—0
Element Intervention for Open Relation Extraction—0
CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing SignalsCode0
End-to-End Hierarchical Relation Extraction for Generic Form Understanding—0
SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN—0
Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractorwith an Explanation Decoder—0
Integrating Lexical Information into Entity Neighbourhood Representations for Relation PredictionCode0
Fine-grained General Entity Typing in German using GermaNetCode0
Deep Learning on Graphs for Natural Language Processing—0
Relation Classification with Cognitive Attention Supervision—0
Detecting Anatomical and Functional Connectivity Relations in Biomedical Literature via Language Representation ModelsCode0
BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRACode0
EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain—0
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint GraphsCode0
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism—0
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order PerceptionCode0
Relation Classification with Entity Type Restriction—0
Ensemble Making Few-Shot Learning Stronger—0
GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding—0
An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets—0
Multi-view Inference for Relation Extraction with Uncertain KnowledgeCode0
Explore BiLSTM-CRF-Based Models for Open Relation Extraction—0
Enriched Attention for Robust Relation Extraction—0
Extracting Adverse Drug Events from Clinical Notes—0
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors—0
A Sample-Based Training Method for Distantly Supervised Relation Extraction with Pre-Trained Transformers—0
Representation Learning for Weakly Supervised Relation Extraction—0
UPB at SemEval-2021 Task 8: Extracting Semantic Information on Measurements as Multi-Turn Question Answering—0
A Question-answering Based Framework for Relation Extraction Validation—0
Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific DataCode0
Learning Relatedness between Types with Prototypes for Relation ExtractionCode0
CovRelex: A COVID-19 Retrieval System with Relation Extraction—0
Memorization vs. Generalization : Quantifying Data Leakage in NLP Performance Evaluation—0
Relating Relations: Meta-Relation Extraction from Online Health Forum Posts—0
ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation ExtractionCode0
End-to-End Argument Mining as Biaffine Dependency Parsing—0
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All datasetsDocREDTACREDSemEval-2010 Task-8ACE 2005CoNLL04Adverse Drug Events (ADE) CorpusWebNLGChemProtACE 2004NYT11-HRLCDRGDA

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DREEAMF167.53—Unverified
2KD-Rb-lF167.28—Unverified
3SSAN-RoBERTa-large+AdaptationF165.92—Unverified
4SAIS-RoBERTa-largeF165.11—Unverified
5Eider-RoBERTa-largeF164.79—Unverified
6DocuNet-RoBERTa-largeF164.55—Unverified
7CGM2IR-RoBERTalargeF163.89—Unverified
8SETE-Roberta-largeF163.74—Unverified
9ATLOP-RoBERTa-largeF163.4—Unverified
10DRE-MIR-BERTbaseF163.15—Unverified
#ModelMetricClaimedVerifiedStatus
1RAG4REF186.6—Unverified
2DeepStruct multi-task w/ finetuneF176.8—Unverified
3UNiST (LARGE)F175.5—Unverified
4RE-MCF175.4—Unverified
5GenPT (T5)F175.3—Unverified
6RECENT+SpanBERTF175.2—Unverified
7SuRE (PEGASUS-large)F175.1—Unverified
8EXOBRAINF175—Unverified
9Relation ReductionF174.8—Unverified
10RoBERTa-large-typed-markerF174.6—Unverified
#ModelMetricClaimedVerifiedStatus
1SPF191.9—Unverified
2RIFREF191.3—Unverified
3REDNF191—Unverified
4SPOTF190.6—Unverified
5KLGF190.5—Unverified
6RELAF190.4—Unverified
7Skeleton-Aware BERTF190.36—Unverified
8LUKEF190.3—Unverified
9KnowPromptF190.3—Unverified
10EPGNNF190.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Span-levelNER Micro F185.98—Unverified
2Dual Pointer Network(multi-head)Relation classification F180.8—Unverified
3Dual Pointer NetworkRelation classification F180.5—Unverified
4PL-MarkerRE Micro F173—Unverified
5ASP+T5-3BRE Micro F172.7—Unverified
6GoLLIERE Micro F170.1—Unverified
7Ours: cross-sentence ALBRE Micro F169.4—Unverified
8MGERE+ Micro F168.2—Unverified
9HySPA (ours) w/ RoBERTaRelation F168.2—Unverified
10RNN+CNNRelation classification F167.7—Unverified
#ModelMetricClaimedVerifiedStatus
1ReLiK-LargeRE+ Micro F178.1—Unverified
2REBELRE+ Macro F1 76.65—Unverified
3ASP+T0-3BRE+ Micro F176.3—Unverified
4Table-SequenceRE+ Macro F1 75.4—Unverified
5SpERTRE+ Macro F1 72.87—Unverified
6DeeperRE+ Macro F1 72.63—Unverified
7TablERTRE+ Micro F172.6—Unverified
8TANLRE+ Micro F172.6—Unverified
9TriMFRE+ Micro F172.35—Unverified
10Multi-turn QARE+ Micro F168.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PFN (ALBERT XXL, average aggregation)RE+ Macro F183.9—Unverified
2DeeperRE+ Macro F183.74—Unverified
3PFN (ALBERT XXL, no aggregation)RE+ Macro F183.2—Unverified
4SpERT.PL (without overlap and BioBERT)RE+ Macro F182.39—Unverified
5REBEL (including overlapping entities)RE+ Macro F182.2—Unverified
6SpERT.PL (with overlap and BioBERT)RE+ Macro F182.03—Unverified
7CMANRE+ Macro F181.14—Unverified
8Table-SequenceRE+ Macro F180.1—Unverified
9CLDR + CLNERRE+ Macro F179.97—Unverified
10SpERT (without overlap)RE+ Macro F179.24—Unverified
#ModelMetricClaimedVerifiedStatus
1UniRelF194.7—Unverified
2PFNF193.6—Unverified
3SPNF193.4—Unverified
4TDEERF193.1—Unverified
5RIFREF192.6—Unverified
6TPLinkerF191.9—Unverified
7HBT (CasRel)F191.8—Unverified
8RIN (BERT, K=2)F190.1—Unverified
9CGT(UniLM)F183.4—Unverified