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 601–650 of 1977 papers

TitleStatusHype
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers—0
More than Classification: A Unified Framework for Event Temporal Relation ExtractionCode0
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks—0
Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation—0
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis—0
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models—0
Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction—0
ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation ExtractionCode0
Prompting Large Language Models for Counterfactual Generation: An Empirical Study—0
A Causal View of Entity Bias in (Large) Language ModelsCode0
RE^2: Region-Aware Relation Extraction from Visually Rich DocumentsCode0
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path—0
REFinD: Relation Extraction Financial DatasetCode0
Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge GraphCode0
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting—0
How Fragile is Relation Extraction under Entity Replacements?Code0
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction—0
Silver Syntax Pre-training for Cross-Domain Relation ExtractionCode0
UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective—0
About Evaluation of F1 Score for RECENT Relation Extraction System—0
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text—0
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild—0
Enhancing Knowledge Graph Construction Using Large Language Models—0
Revisiting Relation Extraction in the era of Large Language Models—0
HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction—0
Beyond Rule-based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text—0
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised DataCode0
Think Rationally about What You See: Continuous Rationale Extraction for Relation ExtractionCode0
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?Code0
UNTER: A Unified Knowledge Interface for Enhancing Pre-trained Language Models—0
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database—0
CORSD: Class-Oriented Relational Self Distillation—0
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction—0
Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3—0
GeoLayoutLM: Geometric Pre-training for Visual Information Extraction—0
BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysis—0
Prompt-Learning for Cross-Lingual Relation ExtractionCode0
LED: A Dataset for Life Event Extraction from DialogsCode0
LeafAI: query generator for clinical cohort discovery rivaling a human programmer—0
Sentence-Level Relation Extraction via Contrastive Learning with Descriptive Relation Prompts—0
Zero-shot Temporal Relation Extraction with ChatGPT—0
Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck—0
EDeR: A Dataset for Exploring Dependency Relations Between EventsCode0
Towards Integration of Discriminability and Robustness for Document-Level Relation ExtractionCode0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies—0
End-to-End Temporal Relation Extraction in the Clinical DomainCode0
TLAG: An Informative Trigger and Label-Aware Knowledge Guided Model for Dialogue-based Relation Extraction—0
End-to-End n-ary Relation Extraction for Combination Drug TherapiesCode0
An Information Extraction Study: Take In Mind the Tokenization!Code0
STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports—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