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 901–950 of 1977 papers

TitleStatusHype
Global alignment for relation extraction in Microbiology—0
Few-shot Open Relation Extraction with Gaussian Prototype and Adaptive Margin—0
ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction—0
A Trigger-Aware Multi-Task Learning for Chinese Event Entity Recognition—0
Few-Shot Joint Multimodal Entity-Relation Extraction via Knowledge-Enhanced Cross-modal Prompt Model—0
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification—0
Few-shot Continual Relation Extraction via Open Information Extraction—0
A three-way perspective on scientific discourse annotation for knowledge extraction—0
A Multi-Gate Encoder for Joint Entity and Relation Extraction—0
Going beyond sentences when applying tree kernels—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
Conservative Bias in Large Language Models: Measuring Relation Predictions—0
Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature—0
Feature Derivation for Exploitation of Distant Annotation via Pattern Induction against Dependency Parses—0
CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse—0
A system for fine-grained aspect-based sentiment analysis of Chinese—0
Grammatical Case Based IS-A Relation Extraction with Boosting for Polish—0
GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction—0
Graph-Augmented Relation Extraction Model with LLMs-Generated Support Document—0
Graph-based Joint Pandemic Concern and Relation Extraction on Twitter—0
FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information—0
Graph-Based Seed Set Expansion for Relation Extraction Using Random Walk Hitting Times—0
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction—0
Fast and Large-scale Unsupervised Relation Extraction—0
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction—0
A Masked Image Reconstruction Network for Document-level Relation Extraction—0
FarsBase-KBP: A Knowledge Base Population System for the Persian Knowledge Graph—0
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction—0
Facebook 活動事件擷取系統(Facebook Activity Event Extraction System)[In Chinese]—0
GraphERE: Jointly Multiple Event-Event Relation Extraction via Graph-Enhanced Event Embeddings—0
GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation—0
Confidence estimation of classification based on the distribution of the neural network output layer—0
Extraction of Regulatory Events using Kernel-based Classifiers and Distant Supervision—0
Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing—0
Extraction of Diagnostic Reasoning Relations for Clinical Knowledge Graphs—0
Extraction multi-étiquettes de relations en utilisant des couches de Transformer—0
GREG: A Global Level Relation Extraction with Knowledge Graph Embedding—0
GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding—0
Guided Distant Supervision for Multilingual Relation Extraction Data: Adapting to a New Language—0
Compounds and distributional thesauri—0
GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information Extraction—0
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective—0
AmalREC: A Dataset for Relation Extraction and Classification Leveraging Amalgamation of Large Language Models—0
A Densely Connected Criss-Cross Attention Network for Document-level Relation Extraction—0
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models—0
Complex Relation Extraction: Challenges and Opportunities—0
Extracting Temporal and Causal Relations between Events—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