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关系提取
关系抽取是预测句子中实体属性及其相互关系的任务，旨在识别和分类文本中的实体间关系。该任务对于构建关系知识图谱至关重要，能够显著提升结构化搜索、情感分析、问答系统和文本摘要等自然语言处理应用的效果。
DocRED
DREEAM
TACRED
DeepStruct multi-task w/ finetune
SemEval-2010 Task-8
ACE 2005
Multi-turn QA
CoNLL04
REBEL
Adverse Drug Events (ADE) Corpus
ITER
WebNLG
PFN
ChemProt
SciBert (Finetune)
NYT11-HRL
RERE
ACE 2004
PL-Marker
NYT10-HRL
ReRe
CDR
SAISORE+CR+ET-SciBERT
GDA
FUNSD
Re-TACRED
SpanBERT
NYT
ReDocRED
DREEAM
NYT Corpus
KGPOOL
SemEval 2018 Task 10
SVM with GloVe
NYT21
GAD
BioLinkBERT (large)
NYT-single
ETL-Span
DDI
KeBioLM
NYT29
SciERC
PFN
DWIE
TACRED-Revisited
SKE
ReRe (exact)
Dataset: Relationship extraction for knowledge graph creation from biomedical literature (Gene-Disease relationships)
BioRED
PubMedBERT
WLPC
SpanRel
NYT24
WDec
SemEval-2010 Task 8
LLM-QA4RE (XXLarge)
REBEL
FewRel
ERNIE
Wikipedia-Wikidata relations
ContextAtt
JNLPBA
SciBERT (SciVocab)
2010 i2b2/VA
Spark NLP
LPSC-hasproperty
Stacked_LinkedBERT
ADE Corpus
PFN
sciERC-sent
RELA
Dataset: Relationship extraction for knowledge graph creation from biomedical literature (Gene-Disease relationships) n
MUC6
iDepNN
LPSC-contains
WNUT 2020
Baseline
2018 n2c2 posology
Spark NLP
Google RE
PGR
Spark NLP
DuIE
2012 i2b2 Temporal Relations
Spark NLP