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 851–900 of 1977 papers

TitleStatusHype
Improved Decomposition Strategy for Joint Entity and Relation Extraction—0
An Empirical Study on Relation Extraction in the Biomedical Domain—0
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representationsCode0
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge AugmentationCode0
VizExtract: Automatic Relation Extraction from Data Visualizations—0
From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation ExtractionCode0
Context-Dependent Semantic Parsing for Temporal Relation Extraction—0
Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models—0
Predicting Document Coverage for Relation Extraction—0
Global alignment for relation extraction in Microbiology—0
Does constituency analysis enhance domain-specific pre-trained BERT models for relation extraction?Code0
Multi-Attribute Relation Extraction (MARE) -- Simplifying the Application of Relation ExtractionCode0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
Translating Embeddings in Document for Modeling Multi-relational Graphs—0
Dataset for N-ary Relation Extraction of Drug Combinations—0
Cross-Document Temporal Relation Extraction with Temporal Anchoring Events—0
CQARE: Contrastive Question-Answering for Few-shot Relation Extraction with Prompt Tuning—0
Seq2rel: A sequence-to-sequence-based approach for document-level relation extraction—0
GenRE: A Generative Model for Relation Extraction—0
PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction—0
Packed Levitated Marker for Entity and Relation Extraction—0
Self-training with Modeling Ambiguous Data for Low-Resource Relation Extraction—0
TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues—0
SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin LossCode0
Event-Event Relation Extraction using Probabilistic Box Embedding—0
A Simple Overlapping Relation Extraction Method Based on Dropout—0
Listen to Both Sides and be Enlightened! -- Hierarchical Modality Fusion Network for Entity and Relation Extraction—0
Improving Document-level Relation Extraction via Context Guided Mention Integration and Inter-pair Reasoning—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
HighIE: High-Order Inference for Entity Recognition, Relation Extraction, and Event Extraction—0
A Cueing Strategy for Prompt Tuning in Relation Extraction—0
Text-to-Table: A New Way of Information Extraction—0
Active Relation Discovery: Towards General and Label-aware OpenRE—0
Relation Extraction from Tables using Artificially Generated Metadata—0
An Exploration of Prompt-Based Zero-Shot Relation Extraction Method—0
Slot Filling for Biomedical Information Extraction—0
GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction—0
Incorporating medical knowledge in BERT for clinical relation extraction—0
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks—0
Relation Extraction with Word Graphs from N-grams—0
Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction—0
Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction—0
Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning—0
Discourse-Based Sentence SplittingCode0
Unsupervised Relation Extraction: A Variational Autoencoder Approach—0
Entity Relation Extraction as Dependency Parsing in Visually Rich Documents—0
Cross-lingual Inference with A Chinese Entailment Graph—0
Learning Rich Representation of Keyphrases from Text—0
Dual Architecture for Name Entity Extraction and Relation Extraction with Applications in Medical Corpora—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