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Exponential Word Embeddings: Models and Approximate Learning
Taygun Kekec
Pattern Recognition and Bioinformatics
Research output
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Thesis
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Dissertation (TU Delft)
212
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Dive into the research topics of 'Exponential Word Embeddings: Models and Approximate Learning'. Together they form a unique fingerprint.
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INIS
approximations
100%
learning
100%
data
100%
vectors
87%
natural language
37%
increasing
12%
dictionaries
12%
demand
12%
variations
12%
resources
12%
floods
12%
machine learning
12%
entropy
12%
capture
12%
degrees of freedom
12%
space
12%
foundations
12%
statistics
12%
performance
12%
thesauri
12%
probabilistic estimation
12%
length
12%
constraints
12%
sampling
12%
Computer Science
Word Embedding
100%
Natural Languages
42%
Data Source
28%
Maximum Entropy
14%
Heuristics
14%
Global Statistic
14%
Embedding Method
14%
Dictionary
14%
Approximation (Algorithm)
14%
Machine Learning Approach
14%
Psychology
Training
50%
Resources
12%
Mathematics
Representing Vector
22%
Text Data
11%