Statistical Significance Testing For Natural Language Processing - Rotem Dror - Paperback - en Book

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Statistical Significance Testing For Natural Language Processing - Rotem Dror - Paperback - en Book

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Statistical Significance Testing For Natural Language Processing - Rotem Dror - Paperback - en Book

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Statistical Significance Testing For Natural Language Processing - Rotem Dror - Paperback - en Book

Data-driven Experimental Analysis Has Become The Main Evaluation Tool Of Natural Language Processing (nlp) Algorithms. In Fact, In The Last Decade, It Has Become Rare To See An Nlp Paper, Particularly One That Proposes A New Algorithm, That Does Not Include Extensive Experimental Analysis, And The Number Of Involved Tasks, Datasets, Domains, And Languages Is Constantly Growing. This Emphasis On Empirical Results Highlights The Role Of Statistical Significance Testing In Nlp Research: If We, As A Community, Rely On Empirical Evaluation To Validate Our Hypotheses And Reveal The Correct Language Processing Mechanisms, We Better Be Sure That Our Results Are Not Coincidental.
  • 品牌: Unbranded
  • 类别: 计算机与互联网
  • 语言: en
  • 作者: Rotem Dror
  • 长度: 120
  • 出版社／标签: Springer Nature B.V
  • 格式: Paperback
  • Fruugo ID: 491710673-1015287805
  • ISBN: 9783031010460

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