Christopher D. Manning


Born
Australia
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Professor of Linguistics and Computer Science, Natural Language Processing Group, Stanford University

Average rating: 4.18 · 570 ratings · 38 reviews · 5 distinct worksSimilar authors
Introduction to Information...

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4.20 avg rating — 334 ratings — published 2008 — 9 editions
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Foundations of Statistical ...

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4.16 avg rating — 227 ratings — published 1999
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Ergativity: Argument Struct...

3.67 avg rating — 3 ratings — published 1996 — 2 editions
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Probabilistic Linguistics

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4.33 avg rating — 6 ratings — published 2003 — 3 editions
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Complex Predicates and Info...

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0.00 avg rating — 0 ratings — published 1999 — 3 editions
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“In principle, more analytic power can be achieved by varying multiple things at once in an uncorrelated (random) way, and doing standard analysis, such as multiple linear regression. In practice, though, A/B testing is widely used, because A/B tests are easy to deploy, easy to understand, and easy to explain to management.”
Christopher D. Manning , Introduction to Information Retrieval

“With limited training data, a more constrained model tends to perform better.”
Christopher d. manning, Introduction to Information Retrieval

“The key utility measure is user happiness. Speed of response and the size of the index are factors in user happiness. It seems reasonable to assume that relevance of results is the most important factor: blindingly fast, useless answers do not make a user happy. However, user perceptions do not always coincide with system designers' notions of quality. For example, user happiness commonly depends very strongly on user interface design issues, including the layout, clarity, and responsiveness of the user interface, which are independent of the quality of the results returned.”
Christopher D. Manning, Introduction to Information Retrieval



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