Skip to main navigation
Skip to search
Skip to main content
Aston Research Explorer Home
Help & FAQ
Home
Research units
Profiles
Research Outputs
Datasets
Student theses
Activities
Press/Media
Prizes
Equipment
Search by expertise, name or affiliation
Position-aware deep multi-task learning for drug–drug interaction extraction
Deyu Zhou, Lei Miao, Yulan He
Computer Science Research Group
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Position-aware deep multi-task learning for drug–drug interaction extraction'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Drug Interactions
100%
Deep multi-task Learning
100%
Interaction Extraction
100%
Position-aware
100%
Position Attention
100%
Interaction Type
66%
Biomedical Text
66%
Bidirectional Long Short-term Memory (BiLSTM)
66%
Hidden States
33%
Healthcare Professionals
33%
Attention Task
33%
Learning Approaches
33%
Word Position
33%
State-of-the-art Techniques
33%
Adverse Drug Events
33%
Interaction Classification
33%
Targeted Drugs
33%
Word Embedding
33%
Type Identification
33%
Attention Weight
33%
Relative Position Information
33%
Multi-task Learning Framework
33%
Position Embedding
33%
DrugBank
33%
Multi-task Learning
33%
Attention-based
33%
Computer Science
Multitask Learning
100%
Bidirectional Long Short-Term Memory Network
50%
Learning Framework
25%
Healthcare Professional
25%
Learning Approach
25%
Position Information
25%
Relative Position
25%
Embedding Position
25%
Word Embedding
25%