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 501–550 of 1977 papers

TitleStatusHype
Abstains from Prediction: Towards Robust Relation Extraction in Real World—0
TERMinator: A system for scientific texts processingCode0
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective—0
Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug InteractionsCode1
A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks—0
Generalizing through Forgetting -- Domain Generalization for Symptom Event Extraction in Clinical Notes—0
Automatic Error Analysis for Document-level Information ExtractionCode1
STAD: Self-Training with Ambiguous Data for Low-Resource Relation ExtractionCode0
Zero-shot Event Causality Identification with Question Answering—0
Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction—0
KoCHET: a Korean Cultural Heritage corpus for Entity-related TasksCode1
Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach—0
Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency ForestCode0
GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation ExtractionCode1
SPOT: Knowledge-Enhanced Language Representations for Information Extraction—0
UniCausal: Unified Benchmark and Repository for Causal Text MiningCode1
A Two-Phase Paradigm for Joint Entity-Relation Extraction—0
A Sequence Tagging based Framework for Few-Shot Relation Extraction—0
A Hybrid Model of Classification and Generation for Spatial Relation Extraction—0
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports—0
Joint Learning-based Causal Relation Extraction from Biomedical Literature—0
DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning—0
Improving Distantly Supervised Relation Extraction by Natural Language Inference—0
Global inference with explicit syntactic and discourse structures for dialogue-level relation extractionCode0
Smoothing Entailment Graphs with Language ModelsCode0
MLRIP: Pre-training a military language representation model with informative factual knowledge and professional knowledge base—0
Enhancing Document-level Relation Extraction by Entity Knowledge InjectionCode1
An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods—0
Document-Level Relation Extraction with Structure Enhanced Transformer Encoder—0
Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge BaseCode0
Building a Relation Extraction Baseline for Gene-Disease Associations: A Reproducibility StudyCode0
A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction—0
Knowledge Extraction From Texts Based on WikidataCode1
Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation ExtractionCode0
Exploring Text Representations for Generative Temporal Relation Extraction—0
Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation ExtractionCode1
RCL: Relation Contrastive Learning for Zero-Shot Relation ExtractionCode0
Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative—0
JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their DescriptionsCode0
Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies—0
Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection—0
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify EntitiesCode0
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple ExtractionCode0
Generic and Trend-aware Curriculum Learning for Relation Extraction—0
Improving Distantly Supervised Document-Level Relation Extraction Through Natural Language Inference—0
Permutation Invariant Strategy Using Transformer Encoders for Table Understanding—0
HITSZ-HLT at SemEval-2022 Task 10: A Span-Relation Extraction Framework for Structured Sentiment Analysis—0
Learning Discriminative Representations for Open Relation Extraction with Instance Ranking and Label CalibrationCode0
Dependency Position Encoding for Relation Extraction—0
Event Causality Identification via Generation of Important Context WordsCode0
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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