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Lightly-supervised Representation Learning with Global Interpretability
Andrew Zupon
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Maria Alexeeva
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Marco Valenzuela-Escárcega
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Ajay Nagesh
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Mihai Surdeanu
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Paper Details:
Month: June
Year: 2019
Location: Minneapolis, Minnesota
Venue:
NAACL |
WS |
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http://www.darpa
https://nlp.stanford.edu/software/patternslearning.shtml
http://scikit-learn.org/stable/modules/generated/
Field Of Study
Linguistic Trends
Embeddings
Task
Information Extraction
Relation Extraction
Question Answering
Biomedical
Approach
Representation Learning
Semi-supervised Learning
Language
English