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 751–800 of 1977 papers

TitleStatusHype
RelO: An Overlapping Relation Extraction Dataset and ModelCode0
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning—0
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction—0
Slot Filling for Biomedical Information ExtractionCode0
A Relation-Oriented Clustering Method for Open Relation ExtractionCode1
Gradient Imitation Reinforcement Learning for Low Resource Relation ExtractionCode1
Packed Levitated Marker for Entity and Relation ExtractionCode1
Extracting Event Temporal Relations via Hyperbolic GeometryCode1
Exploring Task Difficulty for Few-Shot Relation ExtractionCode1
Modular Self-Supervision for Document-Level Relation Extraction—0
Speaker-Oriented Latent Structures for Dialogue-Based Relation ExtractionCode0
D-REX: Dialogue Relation Extraction with ExplanationsCode0
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP TasksCode0
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction—0
Graph Based Network with Contextualized Representations of Turns in DialogueCode1
Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction—0
Text-to-Table: A New Way of Information ExtractionCode1
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation ExtractionCode0
Imposing Relation Structure in Language-Model Embeddings Using Contrastive LearningCode1
Relation Extraction Using Multiple Pre-Training Models in Biomedical Domain—0
Multilingual Epidemic Event Extraction : From Simple Classification Methods to Open Information Extraction (OIE) and Ontology—0
Predicting Informativeness of Semantic Triples—0
Active Learning for Interactive Relation Extraction in a French Newspaper’s Articles—0
Extracting all Aspect-polarity Pairs Jointly in a Text with Relation Extraction Approach—0
TREND: Trigger-Enhanced Relation-Extraction Network for DialoguesCode0
Towards Learning Terminological Concept Systems from Multilingual Natural Language TextCode0
NEREL: A Russian Dataset with Nested Named Entities, Relations and EventsCode1
A Partition Filter Network for Joint Entity and Relation ExtractionCode1
Relation Extraction from Tables using Artificially Generated Metadata—0
Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise FilteringCode0
A Hierarchical Entity Graph Convolutional Network for Relation Extraction across DocumentsCode0
SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific ArticlesCode1
Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model—0
RTE: A Tool for Annotating Relation Triplets from Text—0
An Effective System for Multi-format Information ExtractionCode1
MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility DomainCode1
Extracting Semantics from Maintenance Records—0
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from DocumentsCode1
Time-aware Path Reasoning on Knowledge Graph for RecommendationCode1
Entity and Evidence Guided Document-Level Relation Extraction—0
Relation Extraction with Type-aware Map Memories of Word DependenciesCode1
MRN: A Locally and Globally Mention-Based Reasoning Network for Document-Level Relation ExtractionCode1
GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction—0
HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical ApplicationsCode1
Paths to Relation Extraction through Semantic StructureCode0
Enhancing Dialogue-based Relation Extraction by Speaker and Trigger Words Prediction—0
From What to Why: Improving Relation Extraction with Rationale Graph—0
A Unified Representation Learning Strategy for Open Relation Extraction with Ranked List Loss—0
A Trigger-Aware Multi-Task Learning for Chinese Event Entity Recognition—0
面向对话文本的实体关系抽取(Entity Relation Extraction for Dialogue Text)—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
8HySPA (ours) w/ RoBERTaRelation F168.2—Unverified
9MGERE+ Micro 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