Computer Science
Annotation
100%
Text Mining
69%
Natural Language Processing
28%
Biomedical Literature
26%
Text Classification
24%
Bidirectional Encoder Representations From Transformers
20%
Software Requirements
17%
Natural-Language Understanding
17%
Data Augmentation
17%
Hybrid Approach
17%
Machine Learning
16%
Gold Standard
15%
Scientific Literature
14%
Mining Technique
13%
Experimental Result
13%
Human Performance
13%
Argumentation
13%
Event Extraction
13%
Abstractive Summarization
11%
Named Entity Recognition
11%
Topic Modeling
11%
Web Service
10%
Textual Requirement
9%
Art Performance
8%
Text Mining Tool
8%
Optimal Performance
8%
Confidence Measure
8%
Analytics Tool
8%
Training Dataset
8%
Language Understanding
8%
Relative Change
8%
Identifying Relationship
8%
Semantic Role Labeling
8%
Text Analytics
8%
Large Language Model
8%
Event-Type
8%
Neural Network Architecture
8%
Classification Task
8%
Automatic Detection
8%
Research Hypothesis
8%
Scientific Domain
8%
Confidence Score
8%
Processing Platform
8%
Semisupervised Learning
8%
Automatic Analysis
8%
Oriented Graph
8%
Global Information
8%
Data Source
8%
Knowledge Repository
8%
Entity Linking
8%
Arts and Humanities
Parliamentary Debate
26%
Sentiment
23%
Corpus
13%
Sentiment Analysis
11%
Speaker
11%
Action
10%
Generative
8%
Literature Review
8%
Argument Structure
8%
News stories
8%
Interactive
8%
Contextual
8%
Argumentative text
8%
Reading Comprehension
8%
Cultural Heritage
8%
Heritage
8%
Artificial Intelligence
8%
Digital
8%
Access
7%
Indicative
5%
Frame-work
5%
Parliamentary
5%
Motion
5%
Natural Language Processing
5%
Social Sciences
Parliamentary Debate
34%
Circular Economy
17%
Sentiment Analysis
17%
Narrative
17%
Natural Language Processing
13%
Artificial Intelligence
12%
Delphi Study
8%
Reading Comprehension
8%
Business Model
8%
Guardianship
8%
Police
8%
UK
8%
Computer Science
8%
Natural-Language Understanding
8%
Forced Labor
8%
Cultural Heritage
8%
Micro Level
5%
