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Statistical Significance Testing for Natural Language Processing
Rotem Dror
, Lotem Peled-Cohen
, Segev Shlomov
, Roi Reichart
Research output
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Book/Report
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Book
›
peer-review
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Dive into the research topics of 'Statistical Significance Testing for Natural Language Processing'. Together they form a unique fingerprint.
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Computer Science
Deep Neural Network
11%
Language Processing
22%
Natural Language Processing
100%
Network Accounting
11%
Processing Algorithm
22%
Processing Task
11%
Significance Test
11%
Keyphrases
Natural Language Processing Algorithm
28%