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Reading to learn: Constructing features from semantic abstracts
Jacob Eisenstein
, James Clarke
, Dan Goldwasser
, Dan Roth
Siebel School of Computing and Data Science
Research output
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Contribution to conference
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Paper
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peer-review
Overview
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Keyphrases
Feature Space
50%
Generative Models
50%
High-level Semantics
50%
Human Learning
50%
Labeled Data
50%
Learning by Reading
50%
Learning Facilitation
50%
Learning Spaces
50%
Learning Task
50%
Machine Learning
100%
Multiple Documents
100%
Novel Form
50%
Reading Text
50%
Reading to Learn
100%
Relational Learning
50%
Semantic Analysis
50%
Training System
50%
Underlying Representation
50%
Computer Science
Feature Space
50%
Generative Model
50%
Higher Semantic Level
50%
Human Learning
50%
Learning System
100%
Machine Learning
100%
Training System
50%
Underlying Representation
50%