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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1051–1100 of 1977 papers

TitleStatusHype
Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction—0
Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes—0
ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction—0
Document-level Relation Extraction with Dual-tier Heterogeneous Graph—0
Overview of VLSP RelEx shared task: A Data Challenge for Semantic Relation Extraction from Vietnamese News—0
Vietnamese Relation Extraction with BERT-based Models at VLSP 2020—0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs—0
Improving Relation Extraction with Relational Paraphrase SentencesCode0
The Financial Document Causality Detection Shared Task (FinCausal 2020)—0
Event-Guided Denoising for Multilingual Relation Learning—0
UNIXLONG at SemEval-2020 Task 6: A Joint Model for Definition Extraction—0
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction—0
Distinguishing Between Foreground and Background Events in News—0
Graph Enhanced Dual Attention Network for Document-Level Relation Extraction—0
Joint Extraction of Entity and Relation with Information Redundancy Elimination—0
Dual Supervision Framework for Relation Extraction with Distant Supervision and Human AnnotationCode0
RTFN: A Robust Temporal Feature Network for Time Series Classification—0
Experiments on transfer learning architectures for biomedical relation extraction—0
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
Extracting Relations between Radiotherapy Treatment Details—0
The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction—0
FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction—0
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
Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism—0
Entity Attribute Relation Extraction with Attribute-Aware Embeddings—0
Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics—0
Biomedical Event Extraction as Multi-turn Question AnsweringCode0
BERT-based Spatial Information Extraction—0
mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab ProtocolsCode0
Pre-training Entity Relation Encoder with Intra-span and Inter-span Information—0
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification—0
RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain—0
RH-Net: Improving Neural Relation Extraction via Reinforcement Learning and Hierarchical Relational SearchingCode0
Exploit Multiple Reference Graphs for Semi-supervised Relation Extraction—0
Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction—0
Cross-Lingual Relation Extraction with Transformers—0
TDRE: A Tensor Decomposition Based Approach for Relation Extraction—0
Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion—0
Joint Constrained Learning for Event-Event Relation Extraction—0
BioMegatron: Larger Biomedical Domain Language Model—0
Relation Classification as Two-way Span-Prediction—0
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented AttentionCode0
Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations—0
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-trainingCode0
基于深度学习的实体关系抽取研究综述(Review of Entity Relation Extraction based on deep learning)—0
Show:102550
← PrevPage 22 of 40Next →
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