Dependency grammar and tagging with SpaCy learn to represent a parse natural language using dependency grammar
"Dependency grammar is a powerful way to represent syntactic relationships within a sentence. More sophisticated than bag-of-words representations, it's used in natural language processing tasks like feature engineering, opinion mining, information retrieval, and relation extraction. In th...
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| Format: | eBook |
| Language: | English |
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[Place of publication not identified]
O'Reilly Media
2017
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | "Dependency grammar is a powerful way to represent syntactic relationships within a sentence. More sophisticated than bag-of-words representations, it's used in natural language processing tasks like feature engineering, opinion mining, information retrieval, and relation extraction. In this course, which is designed for basic to intermediate level Python programmers, you'll learn how to represent dependency grammar as an extension to valency grammar and use it with SpaCy."--Resource description page |
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| Item Description: | Title from title screen (viewed April 14, 2017). - Date of publication from resource description page |
| Physical Description: | 1 streaming video file (25 min., 5 sec.) digital, sound, color |