Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Margin-based active learning for structured predictions
Kevin Small, Dan Roth
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Margin-based active learning for structured predictions'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Active Learning
100%
Structured Prediction
100%
Prediction Problems
60%
Complexity Prediction
40%
Active Learning Methods
40%
Synthetic Data
20%
Application Domain
20%
Machine Learning Techniques
20%
Data Requirements
20%
Semantic Role Labeling
20%
Extraction System
20%
Natural Language Processing Applications
20%
Annotated Dataset
20%
Early Prediction
20%
Relation Extraction
20%
Learning Paradigm
20%
Labeling Problem
20%
Structured Output Spaces
20%
Multiple Instances
20%
Named Entity Extraction
20%
Pipeline Model
20%
Binary Prediction
20%
Domain Complexity
20%
Multi-class Prediction
20%
Computer Science
Active Learning
100%
Based Active Learning
100%
Active Learning Technique
66%
Natural Language Processing
33%
Synthetic Data
33%
Application Domain
33%
Machine Learning Technique
33%
Semantic Role Labeling
33%
Data Requirement
33%
Multiple Instance
33%