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Dependency Grammar and Tagging with SpaCy

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Dependency Grammar and Tagging with SpaCy

Dependency Grammar and Tagging with SpaCy
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 21M | 88 MB
Genre: eLearning | Language: English

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.

Discover valency grammar and how it's used to express word relationships
Understand dependency grammar as a typed extension to valency grammar
Explore the expressivity, assumptions, and limitations of dependency grammar
Learn how to traverse parses with spaCy for various applications
Gain experience training a spaCy parser on a Twitter dataset



Dependency Grammar and Tagging with SpaCy

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Tags: Dependency, Grammar, Tagging


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