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
An Empirical Study of Using Pre-trained BERT Models for Vietnamese Relation Extraction Task at VLSP 2020Code0
InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction—0
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global InferenceCode1
GDPNet: Refining Latent Multi-View Graph for Relation ExtractionCode1
Improving Relation Extraction by Leveraging Knowledge Graph Link PredictionCode0
Complex Relation Extraction: Challenges and Opportunities—0
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading ComprehensionCode0
Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification—0
H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation ExtractionCode0
Coarse-to-Fine Entity Representations for Document-level Relation ExtractionCode0
Event Guided Denoising for Multilingual Relation Learning—0
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic DialoguesCode1
Financial Document Causality Detection Shared Task (FinCausal 2020)—0
Automatic Extraction of Ranked SNP-Phenotype Associations from Literature through Detecting Neural Candidates, Negation and Modality Markers—0
The Financial Document Causality Detection Shared Task (FinCausal 2020)—0
Vietnamese Relation Extraction with BERT-based Models at VLSP 2020—0
Overview of VLSP RelEx shared task: A Data Challenge for Semantic Relation Extraction from Vietnamese News—0
Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction—0
Distinguishing Between Foreground and Background Events in News—0
Global Context-enhanced Graph Convolutional Networks for Document-level Relation ExtractionCode0
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction—0
Improving Relation Extraction with Relational Paraphrase SentencesCode0
ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction—0
Span-based Joint Entity and Relation Extraction with Attention-based Span-specific and Contextual Semantic Representations—0
Joint Entity and Relation Extraction for Legal Documents with Legal Feature Enhancement—0
Document-level Relation Extraction with Dual-tier Heterogeneous Graph—0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs—0
Event-Guided Denoising for Multilingual Relation Learning—0
Graph Enhanced Dual Attention Network for Document-Level Relation Extraction—0
Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes—0
UNIXLONG at SemEval-2020 Task 6: A Joint Model for Definition Extraction—0
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation ExtractionCode1
Joint Extraction of Entity and Relation with Information Redundancy Elimination—0
Experiments on transfer learning architectures for biomedical relation extraction—0
Dual Supervision Framework for Relation Extraction with Distant Supervision and Human AnnotationCode0
RTFN: A Robust Temporal Feature Network for Time Series Classification—0
Learning Informative Representations of Biomedical Relations with Latent Variable ModelsCode1
Relation Extraction with Contextualized Relation Embedding (CRE)Code0
Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian—0
Zero-shot Relation Classification from Side InformationCode0
Biomedical Named Entity Recognition at ScaleCode0
Biomedical Information Extraction for Disease Gene Prioritization—0
Denoising Relation Extraction from Document-level Distant SupervisionCode1
Joint Entity and Relation Extraction with Set Prediction NetworksCode1
Biomedical Event Extraction as Multi-turn Question AnsweringCode0
Simple Hierarchical Multi-Task Neural End-To-End Entity Linking for Biomedical Text—0
On the effectiveness of small, discriminatively pre-trained language representation models for biomedical text mining—0
Entity Attribute Relation Extraction with Attribute-Aware Embeddings—0
BERT-based Spatial Information Extraction—0
Extracting Relations between Radiotherapy Treatment Details—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