Difference between revisions of "Class"

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(Word Embeddings)
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= Word Embeddings =
 
= Word Embeddings =
 +
 +
HMMS, CRF, PGMs
 +
Bag of Words / ngrams - feature per word/n items
 +
* 1-hot Sparce input - create a vector the size of the entire vocabulary
 +
Stop Words
 +
TF-IDF
 +
Word2Vec
 +
Firth 1957 Distributional Hypothess
 +
 
= Text Classification =
 
= Text Classification =
 
= Text/Machine Translation (MNT) =
 
= Text/Machine Translation (MNT) =

Revision as of 08:26, 22 October 2018

Linguistic Concepts

  • conference - anaphors
  • gang of four design
  • null subject
  • recursion

Word Embeddings

HMMS, CRF, PGMs Bag of Words / ngrams - feature per word/n items

  • 1-hot Sparce input - create a vector the size of the entire vocabulary

Stop Words TF-IDF Word2Vec Firth 1957 Distributional Hypothess

Text Classification

Text/Machine Translation (MNT)