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			47 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
			
		
		
	
	
			47 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
| //- 💫 DOCS > API > ANNOTATION SPECS
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| 
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| include ../_includes/_mixins
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| 
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| +section("text-processing")
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|     +h(2, "text-processing") Text Processing
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|     include _annotation/_text-processing
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| 
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| +section("pos-tagging")
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|     +h(2, "pos-tagging") Part-of-speech Tagging
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| 
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|     +aside("Tip: Understanding tags")
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|         |  You can also use #[code spacy.explain()] to get the description for the
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|         |  string representation of a tag. For example,
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|         |  #[code spacy.explain("RB")] will return "adverb".
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| 
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|     include _annotation/_pos-tags
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| 
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| +section("dependency-parsing")
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|     +h(2, "dependency-parsing") Syntactic Dependency Parsing
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| 
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|     +aside("Tip: Understanding labels")
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|         |  You can also use #[code spacy.explain()] to get the description for the
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|         |  string representation of a label. For example,
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|         |  #[code spacy.explain("prt")] will return "particle".
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| 
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|     include _annotation/_dep-labels
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| 
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| +section("named-entities")
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|     +h(2, "named-entities") Named Entity Recognition
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| 
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|     +aside("Tip: Understanding entity types")
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|         |  You can also use #[code spacy.explain()] to get the description for the
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|         |  string representation of an entity label. For example,
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|         |  #[code spacy.explain("LANGUAGE")] will return "any named language".
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| 
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|     include _annotation/_named-entities
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| 
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|     +h(3, "biluo") BILUO Scheme
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| 
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|     include _annotation/_biluo
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| 
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| +section("training")
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|     +h(2, "training") Models and training data
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| 
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|     include _annotation/_training
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