Relation Extraction
50개 벤치마크 · 논문 2,072편 · 이 태스크의 논문 보기 →
Benchmarks
DocRED
TACRED
SemEval-2010 Task-8
ACE 2005
CoNLL04
WebNLG
ChemProt
NYT11-HRL
ACE 2004
CDR
NYT10-HRL
FUNSD
GDA
Re-TACRED
NYT
ReDocRED
NYT Corpus
SemEval 2018 Task 10
NYT21
DDI
DWIE
GAD
NYT-single
NYT29
REBEL
SKE
SciERC
TACRED-Revisited
BioRED
FewRel
NYT24
SemEval-2010 Task 8
WLPC
2010 i2b2/VA
2018 n2c2 posology
ADE Corpus
DuIE
Google RE
JNLPBA
LPSC-contains
LPSC-hasproperty
MUC6
PGR
WNUT 2020
sciERC-sent
Most implemented
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Matching the Blanks: Distributional Similarity for Relation Learning
Are Transformers Effective for Time Series Forecasting?
Papers
ViTOED: A Dataset for Target-Oriented Emotion Detection on Vietnamese Social Media Texts
This paper introduces ViTOED, a novel dataset for target-oriented emotion detection in Vietnamese social media texts. The ViTOED comprises 10,985 user comments and 21,244 manually annotated opinion quadruples (source, ta…
Relation ExtractionANCHOR-RE: An Agentic Neuro-Symbolic Framework for Grounded Biomedical Relation Extraction
Biomedical relation extraction (BioRE) extracts structured knowledge from biomedical literature for applications such as knowledge base construction and hypothesis generation. Traditional symbolic systems such as SemRep …
Relation ExtractionLA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction
Large language models show strong promise for information extraction (IE), but existing reflection-based correction methods are often misaligned with structured extraction outputs. Free-form self-reflection can flag an e…
Information ExtractionReinforcement LearningRelation ExtractionEvent ExtractionLightweight Person-Place Relation Extraction from Historical Newspapers with Dependency Graphs and Proximity Features
The HIPE-2026 shared task introduces person-place relation extraction from multilingual historical newspapers as a new evaluation track, classifying the at and isAt relations between pre-annotated person and location men…
Relation ClassificationRelation ExtractionOntoLearner: A Modular Python Library for Ontology Learning with Large Language Models
Ontology learning (OL) aims to automatically construct structured knowledge models from text, yet progress remains fragmented across methods, domains, and evaluation practices. Despite decades of research, OL lacks a sha…
Relation ExtractionRuleChef: Grounding LLM Task Knowledge in Human-Editable Rules
We present RuleChef, a framework that uses large language models (LLMs) to generate executable rules for NLP tasks such as text classification, Named Entity Recognition (NER), or relation extraction. Rules are generated …
Relation ExtractionText Classification