UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge
Code (0)
등록된 구현이 없습니다.
Tasks
Drug–drug Interaction ExtractionGeneral Classificationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Relation ExtractionSimilar Papers 제목 키워드 기반
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries
Monitoring the administration of drugs and adverse drug reactions are key parts of pharmacovigilance. In this paper, we explore the extraction of drug mentions and drug-related information (reason for taking a drug, rout…
Entity Extraction using GANnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+2MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction
Extracting meaningful drug-related information chunks, such as adverse drug events (ADE), is crucial for preventing morbidity and saving many lives. Most ADEs are reported via an unstructured conversation with the medica…
Event DetectionEvent ExtractionMedical Named Entity Recognitionnamed-entity-recognition+2A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity
We investigate the quality of task specific word embeddings created with relatively small, targeted corpora. We present a comprehensive evaluation framework including both intrinsic and extrinsic evaluation that can be e…
Named Entity Recognition (NER)Outlier DetectionQuestion AnsweringRelation Extraction+1A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events
An adverse drug event (ADE) is an injury resulting from medical intervention related to a drug. Automatic ADE detection from text is either fine-grained (ADE entity recognition) or coarse-grained (ADE assertive sentence …
Classificationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+2The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews
The Russian Drug Reaction Corpus (RuDReC) is a new partially annotated corpus of consumer reviews in Russian about pharmaceutical products for the detection of health-related named entities and the effectiveness of pharm…
General Classificationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+3