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 701–750 of 1977 papers

TitleStatusHype
Event-Event Relation Extraction using Probabilistic Box Embedding—0
TableIE: Capture the Interactions among Joint Information Extraction Explicitly via Double Tables—0
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction—0
A Cueing Strategy for Prompt Tuning in Relation Extraction—0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
GenRE: A Generative Model for Relation Extraction—0
Text-to-Table: A New Way of Information Extraction—0
TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues—0
A Simple Overlapping Relation Extraction Method Based on Dropout—0
Relation Extraction from Tables using Artificially Generated Metadata—0
Learning Logic Rules for Document-level Relation ExtractionCode1
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks—0
TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and RelationsCode1
Utilizing Relative Event Time to Enhance Event-Event Temporal Relation ExtractionCode1
Towards Realistic Few-Shot Relation ExtractionCode1
Relation Extraction with Word Graphs from N-grams—0
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language ModelsCode1
Incorporating medical knowledge in BERT for clinical relation extraction—0
CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the WildCode1
Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction—0
Unsupervised Relation Extraction: A Variational Autoencoder Approach—0
Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction—0
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based ResultsCode1
Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning—0
GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction—0
Discourse-Based Sentence SplittingCode0
REBEL: Relation Extraction By End-to-end Language generationCode1
Open Rule InductionCode1
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation ExtractionCode1
Entity Relation Extraction as Dependency Parsing in Visually Rich Documents—0
Cross-lingual Inference with A Chinese Entailment Graph—0
Benchmarking Biomedical Nested NER and Relation Extraction Models—0
Learning Rich Representation of Keyphrases from Text—0
Dual Architecture for Name Entity Extraction and Relation Extraction with Applications in Medical Corpora—0
PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation ExtractionCode1
On the Relation between Syntactic Divergence and Zero-Shot PerformanceCode0
Process Extraction from Text: Benchmarking the State of the Art and Paving the Way for Future ChallengesCode0
FoodChem: A food-chemical relation extraction modelCode0
Enhancing Biomedical Relation Extraction with Transformer Models using Shortest Dependency Path Features and Triplet InformationCode0
Joint Entity and Relation Extraction from Scientific Documents: Role of Linguistic Information and Entity TypesCode1
MatSciBERT: A Materials Domain Language Model for Text Mining and Information ExtractionCode1
Multi-scale fusion self attention mechanism—0
Generate Triggers in Neural Relation Extraction—0
Logic Pre-Training of Language Models—0
Entity Linking Meets Deep Learning: Techniques and Solutions—0
GERNERMED -- An Open German Medical NER ModelCode1
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation ExtractionCode1
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction—0
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results—0
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision—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