Keyphrases
Chemical Patents
100%
Melbourne
66%
Cheminformatics
66%
Named Entity Recognition
58%
Chemical Reaction
50%
Chemical Named Entity Recognition
41%
Text Mining
38%
Deep Active Learning
33%
System Demonstration
33%
Jupyter Notebook
33%
Human Performance
33%
Research Academics
33%
Recent Applications
33%
Synthesis of Chemical Compounds
33%
Transformer
33%
Contextualized Word Embeddings
33%
Neural Language Models
33%
Anaphora Resolution
33%
Reaction Reference Resolution
33%
Event Extraction
33%
Patient Samples
33%
Care Pathway
33%
Group-based
33%
Frequent Patterns
33%
Bioinformatics Methods
33%
Natural Language Processing Applications
33%
Introductory Overview
33%
Semantic Classification
33%
Reaction Extraction
33%
Pre-trained Language Model
33%
Contrastive Loss
33%
Supervised Contrastive Learning
33%
Computational Chemistry
33%
NLP.
33%
United Nations Sustainable Development Goals (UN SDGs)
33%
Application Domain
33%
COVID-19
33%
Recent Advances
33%
Biomedical Applications
33%
Academic Search
33%
Scientific Impact
33%
Test Evaluation
33%
Stress Testing
33%
Stress Scenarios
33%
University Evaluation
27%
Recognition Performance
26%
Information Extraction
25%
F1 Score
22%
Patent Documents
20%
Evaluation Method
19%
University Medical Centre
16%
Activity Patterns
16%
Patient-centered
16%
Kidney Injury
16%
Billing Codes
16%
Positive Instances
16%
Table Classification
16%
Information Interaction
16%
Chemical Compounds
16%
Classification Task
16%
Sustainable Development Goals
16%
Online Shopping
16%
Diabetes
16%
Background Knowledge
16%
Original Model
16%
Medical Terms
16%
Spelling Errors
16%
Adversarial Training
16%
Recognition Task
16%
Contextual Embeddings
16%
Adversarial Examples
16%
Biomedical Named Entity Recognition
16%
Stress Types
16%
Severe Stress
16%
Natural Language Processing
15%
Patent Text
13%
Tokenizer
13%
ELMo
13%
Word Representation
13%
Word Embedding
13%
Recent Trends
11%
Extraction Methods
11%
Scientific Output
11%
New Disciplines
11%
University Research
11%
Scientific Performance
11%
University Departments
11%
Plethora
11%
Co-authorship Network
11%
Heterogeneous Data Sources
11%
Novel Metrics
11%
Co-citation
11%
Subarea
11%
Research Funding
11%
Contrastive Learning
9%
Data Representation
9%
Biologists
8%
Data Scientist
8%
Effective Treatment
8%
Research Industry
8%
Computer Science
Named Entity Recognition
37%
Best Practice
33%
Frequent Patterns
33%
Data Scientist
33%
Scientific Output
33%
Technical Challenge
33%
Funding Research
33%
Contrastive Loss
33%
Pre-Trained Language Models
33%
Word Embedding
33%
Academic Search
33%
Active Learning
33%
Contrastive Learning
33%
Heterogeneous Data
33%
Research Community
33%
Machine Learning
33%
Information Extraction
33%
coauthorship
33%
Data Source
33%
Recognition Performance
26%
Positive Example
16%
Information Interaction
16%
Shopping Online
16%
Background Knowledge
16%
Adversarial Example
16%
Adversarial Machine Learning
16%
User Segmentation
8%
Series Prediction
8%
Interaction Behavior
8%
Unique Property
8%
Long Short-Term Memory Network
8%
Scientific Paper
8%
Search Engine
8%
Data Instance
7%
Data Representation
7%
Natural Language Processing
7%
Bidirectional Long Short-Term Memory Network
6%
Patent Document
6%
Linguistic Complexity
6%
Named Entity Recognition System
6%