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 1301–1350 of 1977 papers

TitleStatusHype
Event extraction based on open information extraction and ontology—0
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data—0
REflex: Flexible Framework for Relation Extraction in Multiple DomainsCode0
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation ExtractionCode0
Attention Guided Graph Convolutional Networks for Relation ExtractionCode0
BERE: An accurate distantly supervised biomedical entity relation extraction network—0
Antonym-Synonym Classification Based on New Sub-space Embeddings—0
A Structured Learning Approach to Temporal Relation Extraction—0
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network—0
Improving Relation Extraction by Pre-trained Language RepresentationsCode0
A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text MiningCode0
Attention Neural Model for Temporal Relation Extraction—0
Distantly Supervised Biomedical Knowledge Acquisition via Knowledge Graph Based Attention—0
A General-Purpose Annotation Model for Knowledge Discovery: Case Study in Spanish Clinical Text—0
OpenCeres: When Open Information Extraction Meets the Semi-Structured Web—0
GAN Driven Semi-distant Supervision for Relation Extraction—0
Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant SupervisionCode0
Improving Knowledge Base Construction from Robust Infobox Extraction—0
Learning Relational Representations by Analogy using Hierarchical Siamese Networks—0
Extracting Adverse Drug Event Information with Minimal Engineering—0
Document-Level N-ary Relation Extraction with Multiscale Representation Learning—0
A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction—0
Multilingual Entity, Relation, Event and Human Value Extraction—0
Semi-Supervised Teacher-Student Architecture for Relation Extraction—0
A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation ExtractionCode0
Using Neural Networks for Relation Extraction from Biomedical Literature—0
Enriching Pre-trained Language Model with Entity Information for Relation ClassificationCode0
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels—0
ERNIE: Enhanced Language Representation with Informative EntitiesCode0
Neural Metric Learning for Fast End-to-End Relation Extraction—0
Entity-Relation Extraction as Multi-Turn Question AnsweringCode0
RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement—0
A Relation Extraction Approach for Clinical Decision Support—0
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction—0
Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding—0
A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data—0
Simple BERT Models for Relation Extraction and Semantic Role LabelingCode0
Document-Level N-ary Relation Extraction with Multiscale Representation Learning—0
UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering—0
Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag AttentionsCode0
Structured Minimally Supervised Learning for Neural Relation ExtractionCode0
A Silver Standard Corpus of Human Phenotype-Gene RelationsCode0
Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation ExtractionCode0
Relation extraction between the clinical entities based on the shortest dependency path based LSTM—0
Learning Dependency Structures for Weak Supervision Models—0
Towards Time-Aware Distant Supervision for Relation Extraction—0
Sentence Embedding Alignment for Lifelong Relation ExtractionCode0
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks—0
Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings—0
Relation Extraction using Explicit Context Conditioning—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
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