HyperAIHyperAI
HomeNewsLatest PapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAIHyperAI

Relation Extraction On Chemprot

Metrics

Micro F1

Results

Performance results of various models on this benchmark

Model Name
Micro F1
Paper TitleRepository
CharacterBERT (base, medical)73.44CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters-
BioM-BERT-BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA
SciBert (Finetune)-SciBERT: A Pretrained Language Model for Scientific Text-
SciBERT (Base Vocab)-SciBERT: A Pretrained Language Model for Scientific Text-
ELECTRAMed-ELECTRAMed: a new pre-trained language representation model for biomedical NLP-
PubMedBERT uncased77.24Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing-
SciFive Large-SciFive: a text-to-text transformer model for biomedical literature-
BioLinkBERT (large)79.98LinkBERT: Pretraining Language Models with Document Links-
KeBioLM-Improving Biomedical Pretrained Language Models with Knowledge-
BioMegatron-BioMegatron: Larger Biomedical Domain Language Model-
BioT5X (base)-SciFive: a text-to-text transformer model for biomedical literature-
BioBERT-BioBERT: a pre-trained biomedical language representation model for biomedical text mining-
NCBI_BERT(large) (P)-Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets-
0 of 13 row(s) selected.
Relation Extraction On Chemprot | SOTA | HyperAI