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Relation Extraction On Chemprot

Metrics

Micro F1

Results

Performance results of various models on this benchmark

Paper TitleCode
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
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Relation Extraction On Chemprot | SOTA | HyperAI