Relation Extraction
Relation extraction is the task of predicting the attributes of entities and their mutual relationships in a sentence, aiming to identify and classify the relationships between entities in the text. This task is crucial for building relational knowledge graphs and can significantly enhance the performance of natural language processing applications such as structured search, sentiment analysis, question answering systems, and text summarization.
Spark NLP
Spark NLP
Spark NLP
PL-Marker
PL-Marker
ITER
PFN
PubMedBERT
SAISORE+CR+ET-SciBERT
PubMedBERT uncased
ASP+T0-3B
BioLinkBERT (large)
DREEAM
RoCORE
BioLinkBERT (large)
SciBERT (SciVocab)
Stacked_LinkedBERT
iDepNN
KGPOOL
ETL-Span
ReRe
RERE
WDec
Spark NLP
SpanBERT
DREEAM
PFN
RELA
LLM-QA4RE (XXLarge)
SVM with GloVe
ReRe (exact)
RAG4RE
UniRel
ContextAtt
SpanRel
Baseline