Joint Entity And Relation Extraction
Joint Entity and Relation Extraction is a subtask in natural language processing that aims to extract entity mentions and their semantic relationships from unstructured text using a single model. The goal of this task is to achieve efficient and accurate information extraction to support applications such as knowledge graph construction, information retrieval, and question answering systems, thereby enhancing the understanding and utilization efficiency of textual content.
2012 i2b2 Temporal Relations
Finetuned REBEL
ACE 2005
Ours: cross-sentence ALB
ACE2005
ADE Corpus
CDR
seq2rel
CoNLL04
DocRED
REBEL+pretraining
DocRED-IE
GDA
KPI-EDGAR
KPI-BERT
NYT
TDEER
SciERC
PL-Marker
SemEval-2022 Task-12
MRC-based NER + Span pair classification with solid marker + ensemble
TekGen
ReGen-SCST
WebNLG
SPN
WebNLG 3.0
ReGen