HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Drug Drug Interaction Extraction On Ddi

평가 지표

F1

Micro F1

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	F1	Micro F1	Paper Title	Repository
Feature-based SVM	0.670	67.0	Extracting drug–drug interactions from literature using a rich feature-based linear kernel approach	-
MOL+CNN	0.7255	72.55	Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information	-
PubMedBERT	0.8236	82.36	Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
BioBERT	0.8088	80.88	BioBERT: a pre-trained biomedical language representation model for biomedical text mining
DESC+MOL+SciBERT	0.8408	84.08	Using Drug Descriptions and Molecular Structures for Drug-Drug Interaction Extraction from Literature
CharacterBERT (base, medical)	-	80.38	CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Hierarchy Bi-LSTMs +Att.+SDP	0.729	72.9	Drug–drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths	-
SciFive-large	0.8367	83.67	SciFive: a text-to-text transformer model for biomedical literature
ELECTRAMed	-	79.13	ELECTRAMed: a new pre-trained language representation model for biomedical NLP
Graph Kernel-based method	0.684	68.4	A graph kernel based on context vectors for extracting drug–drug interactions	-

0 of 10 row(s) selected.