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Drug–drug Interaction Extraction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Automatic extraction of Drug-drug interaction (DDI) information from the biomedical literature.
( Image credit: Using Drug Descriptions and Molecular Structures for Drug-Drug Interaction Extraction from Literature )
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
End-to-End $n$-ary Relation Extraction for Combination Drug Therapies
Integrating Heterogeneous Domain Information into Relation Extraction: A Case Study on Drug-Drug Interaction Extraction
A Dataset for N-ary Relation Extraction of Drug Combinations
SciFive: a text-to-text transformer model for biomedical literature
ELECTRAMed: a new pre-trained language representation model for biomedical NLP
EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Two Step Joint Model for Drug Drug Interaction Extraction
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information
Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers
Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.