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 851–900 of 1977 papers

TitleStatusHype
An Algebra for Feature Extraction—0
Contextual Argument Component Classification for Class Discussions—0
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks—0
Fine-Grained Temporal Relation Extraction—0
Fine-grained Sentiment Analysis with Faithful Attention—0
Context-Dependent Semantic Parsing for Temporal Relation Extraction—0
Focused Meeting Summarization via Unsupervised Relation Extraction—0
Focus! Relevant and Sufficient Context Selection for News Image Captioning—0
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction—0
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information—0
Finding Influential Instances for Distantly Supervised Relation Extraction—0
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns—0
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction—0
Financial Document Causality Detection Shared Task (FinCausal 2020)—0
Filling Knowledge Base Gaps for Distant Supervision of Relation Extraction—0
From What to Why: Improving Relation Extraction with Rationale Graph—0
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction—0
Filling a Knowledge Graph with a Crowd—0
FGSI: Distant Supervision for Relation Extraction method based on Fine-Grained Semantic Information—0
GAN Driven Semi-distant Supervision for Relation Extraction—0
Constructing a Lexicon of Relational Nouns—0
GCRE-GPT: A Generative Model for Comparative Relation Extraction—0
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks—0
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels—0
Few-Shot Relation Extraction with Hybrid Visual Evidence—0
Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs—0
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database—0
Generalized knowledge-enhanced framework for biomedical entity and relation extraction—0
Few-shot Open Relation Extraction with Gaussian Prototype and Adaptive Margin—0
Generalizing through Forgetting -- Domain Generalization for Symptom Event Extraction in Clinical Notes—0
Generate it. A simple method for End-to-End Relation Extraction—0
Generate Triggers in Neural Relation Extraction—0
ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction—0
Generating Pattern-Based Entailment Graphs for Relation Extraction—0
A Trigger-Aware Multi-Task Learning for Chinese Event Entity Recognition—0
Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need—0
Few-Shot Joint Multimodal Entity-Relation Extraction via Knowledge-Enhanced Cross-modal Prompt Model—0
GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction—0
Generic and Trend-aware Curriculum Learning for Relation Extraction in Graph Neural Networks—0
Generic and Trend-aware Curriculum Learning for Relation Extraction—0
Few-shot Continual Relation Extraction via Open Information Extraction—0
A three-way perspective on scientific discourse annotation for knowledge extraction—0
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction—0
A Multi-Gate Encoder for Joint Entity and Relation Extraction—0
A Compositional Interpretation of Biomedical Event Factuality—0
A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction—0
FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction—0
Feature-Rich Networks for Knowledge Base Completion—0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks—0
Conservative Bias in Large Language Models: Measuring Relation Predictions—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