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 801–850 of 1977 papers

TitleStatusHype
面向对话文本的实体关系抽取(Entity Relation Extraction for Dialogue Text)—0
面向法律文本的实体关系联合抽取算法(Joint Entity and Relation Extraction for Legal Texts)—0
Dependency-driven Relation Extraction with Attentive Graph Convolutional NetworksCode1
TIMERS: Document-level Temporal Relation Extraction—0
CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse—0
How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation ExtractionCode0
CogIE: An Information Extraction Toolkit for Bridging Texts and CogNetCode1
Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation ExtractionCode0
Meta Learning and Its Applications to Natural Language Processing—0
KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and RelationsCode0
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
Clinical Relation Extraction Using Transformer-based ModelsCode1
EIDER: Evidence-enhanced Document-level Relation Extraction—0
UniRE: A Unified Label Space for Entity Relation ExtractionCode1
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERTCode1
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference ResolutionCode1
Multimodal Graph-based Transformer Framework for Biomedical Relation ExtractionCode0
HySPA: Hybrid Span Generation for Scalable Text-to-Graph ExtractionCode1
A Simple and Efficient Probabilistic Language model for Code-Mixed Text—0
Benchmarking Knowledge-driven Zero-shot LearningCode1
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity RecognitionCode1
RadGraph: Extracting Clinical Entities and Relations from Radiology ReportsCode1
A Cascade Dual-Decoder Model for Joint Entity and Relation ExtractionCode1
Open Temporal Relation Extraction for Question Answering—0
KnowFi: Knowledge Extraction from Long Fictional Texts—0
SENT: Sentence-level Distant Relation Extraction via Negative TrainingCode1
Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter—0
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation ExtractionCode1
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial TrainingCode0
Graph-based Joint Pandemic Concern and Relation Extraction on Twitter—0
Element Intervention for Open Relation Extraction—0
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage FusionCode1
From Discourse to Narrative: Knowledge Projection for Event Relation ExtractionCode1
CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing SignalsCode0
Document-level Relation Extraction as Semantic SegmentationCode1
Entity Concept-enhanced Few-shot Relation ExtractionCode1
Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task LearningCode1
Three Sentences Are All You Need: Local Path Enhanced Document Relation ExtractionCode1
Discriminative Reasoning for Document-level Relation ExtractionCode1
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation ExtractionCode1
End-to-End Hierarchical Relation Extraction for Generic Form Understanding—0
Relation Classification with Cognitive Attention Supervision—0
EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain—0
BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRACode0
SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN—0
Fine-grained General Entity Typing in German using GermaNetCode0
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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
8KnowPromptF190.3—Unverified
9LUKEF190.3—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
7TANLRE+ Micro F172.6—Unverified
8TablERTRE+ 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