mirror of https://github.com/explosion/spaCy.git
doc: Fix minor mistakes
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+h(3, "intent-parser") Training a parser for custom semantics
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+h(3, "intent-parser") Training a parser for custom semantics
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| spaCy's parser component can be used to trained to predict any type
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| spaCy's parser component can be used to be trained to predict any type
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| of tree structure over your input text – including
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| of tree structure over your input text – including
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| #[strong semantic relations] that are not syntactic dependencies. This
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| #[strong semantic relations] that are not syntactic dependencies. This
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| can be useful to for #[strong conversational applications], which need to
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| can be useful to for #[strong conversational applications], which need to
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| to do this automatically – just make sure to add it #[code before='parser'].
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| to do this automatically – just make sure to add it #[code before='parser'].
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| The following example example shows a full implementation of a training
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| The following example shows a full implementation of a training
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| loop for a custom message parser for a common "chat intent": finding
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| loop for a custom message parser for a common "chat intent": finding
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| local businesses. Our message semantics will have the following types
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| local businesses. Our message semantics will have the following types
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| of relations: #[code ROOT], #[code PLACE], #[code QUALITY],
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| of relations: #[code ROOT], #[code PLACE], #[code QUALITY],
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