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Unsupervised Document Classification with Informed Topic Models
Timothy Miller
|
Dmitriy Dligach
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Guergana Savova
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
BioNLP |
WS |
SIG: SIGBIOMED
Citations
URL
Learning Patient Representations from Text
Dmitriy Dligach
|
Timothy Miller
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Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations
Paul Michel
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Abhilasha Ravichander
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Shruti Rijhwani
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https://i2b2.org/NLP/DataSets/
http://qwone.com/
Field Of Study
Approach
Topic Modeling
Language
Chinese
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