mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-21 19:39:13 +03:00
0b4b4f1819
* document token ent_kb_id * document span kb_id * update pipeline documentation * prior and context weights as bool's instead * entitylinker api documentation * drop for both models * finish entitylinker documentation * small fixes * documentation for KB * candidate documentation * links to api pages in code * small fix * frequency examples as counts for consistency * consistent documentation about tensors returned by predict * add entity linking to usage 101 * add entity linking infobox and KB section to 101 * entity-linking in linguistic features * small typo corrections * training example and docs for entity_linker * predefined nlp and kb * revert back to similarity encodings for simplicity (for now) * set prior probabilities to 0 when excluded * code clean up * bugfix: deleting kb ID from tokens when entities were removed * refactor train el example to use either model or vocab * pretrain_kb example for example kb generation * add to training docs for KB + EL example scripts * small fixes * error numbering * ensure the language of vocab and nlp stay consistent across serialization * equality with = * avoid conflict in errors file * add error 151 * final adjustements to the train scripts - consistency * update of goldparse documentation * small corrections * push commit * typo fix * add candidate API to kb documentation * update API sidebar with EntityLinker and KnowledgeBase * remove EL from 101 docs * remove entity linker from 101 pipelines / rephrase * custom el model instead of existing model * set version to 2.2 for EL functionality * update documentation for 2 CLI scripts
110 lines
4.6 KiB
JSON
110 lines
4.6 KiB
JSON
[
|
|
{
|
|
"section": "usage",
|
|
"items": [
|
|
{
|
|
"label": "Get started",
|
|
"items": [
|
|
{ "text": "Installation", "url": "/usage" },
|
|
{ "text": "Models & Languages", "url": "/usage/models" },
|
|
{ "text": "Facts & Figures", "url": "/usage/facts-figures" },
|
|
{ "text": "spaCy 101", "url": "/usage/spacy-101" },
|
|
{ "text": "New in v2.1", "url": "/usage/v2-1" },
|
|
{ "text": "New in v2.0", "url": "/usage/v2" }
|
|
]
|
|
},
|
|
{
|
|
"label": "Guides",
|
|
"items": [
|
|
{ "text": "Linguistic Features", "url": "/usage/linguistic-features" },
|
|
{ "text": "Rule-based Matching", "url": "/usage/rule-based-matching" },
|
|
{ "text": "Processing Pipelines", "url": "/usage/processing-pipelines" },
|
|
{ "text": "Vectors & Similarity", "url": "/usage/vectors-similarity" },
|
|
{ "text": "Training Models", "url": "/usage/training" },
|
|
{ "text": "Saving & Loading", "url": "/usage/saving-loading" },
|
|
{ "text": "Adding Languages", "url": "/usage/adding-languages" },
|
|
{ "text": "Visualizers", "url": "/usage/visualizers" }
|
|
]
|
|
},
|
|
{
|
|
"label": "In-depth",
|
|
"items": [{ "text": "Code Examples", "url": "/usage/examples" }]
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"section": "models",
|
|
"items": [
|
|
{
|
|
"label": "Models",
|
|
"items": [{ "text": "Overview", "url": "/models" }]
|
|
},
|
|
{
|
|
"label": "Language Models",
|
|
"items": []
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"section": "api",
|
|
"items": [
|
|
{
|
|
"label": "Overview",
|
|
"items": [
|
|
{ "text": "Architecture", "url": "/api" },
|
|
{ "text": "Annotation Specs", "url": "/api/annotation" },
|
|
{ "text": "Command Line", "url": "/api/cli" },
|
|
{ "text": "Functions", "url": "/api/top-level" }
|
|
]
|
|
},
|
|
{
|
|
"label": "Containers",
|
|
"items": [
|
|
{ "text": "Doc", "url": "/api/doc" },
|
|
{ "text": "Token", "url": "/api/token" },
|
|
{ "text": "Span", "url": "/api/span" },
|
|
{ "text": "Lexeme", "url": "/api/lexeme" }
|
|
]
|
|
},
|
|
{
|
|
"label": "Pipeline",
|
|
"items": [
|
|
{ "text": "Language", "url": "/api/language" },
|
|
{ "text": "Tokenizer", "url": "/api/tokenizer" },
|
|
{ "text": "Lemmatizer", "url": "/api/lemmatizer" },
|
|
{ "text": "Tagger", "url": "/api/tagger" },
|
|
{ "text": "DependencyParser", "url": "/api/dependencyparser" },
|
|
{ "text": "EntityRecognizer", "url": "/api/entityrecognizer" },
|
|
{ "text": "EntityLinker", "url": "/api/entitylinker" },
|
|
{ "text": "TextCategorizer", "url": "/api/textcategorizer" },
|
|
{ "text": "Matcher", "url": "/api/matcher" },
|
|
{ "text": "PhraseMatcher", "url": "/api/phrasematcher" },
|
|
{ "text": "EntityRuler", "url": "/api/entityruler" },
|
|
{ "text": "Sentencizer", "url": "/api/sentencizer" },
|
|
{ "text": "Other Functions", "url": "/api/pipeline-functions" }
|
|
]
|
|
},
|
|
{
|
|
"label": "Other",
|
|
"items": [
|
|
{ "text": "Vocab", "url": "/api/vocab" },
|
|
{ "text": "StringStore", "url": "/api/stringstore" },
|
|
{ "text": "Vectors", "url": "/api/vectors" },
|
|
{ "text": "KnowledgeBase", "url": "/api/kb" },
|
|
{ "text": "GoldParse", "url": "/api/goldparse" },
|
|
{ "text": "GoldCorpus", "url": "/api/goldcorpus" },
|
|
{ "text": "Scorer", "url": "/api/scorer" }
|
|
]
|
|
},
|
|
{
|
|
"label": "Cython",
|
|
"items": [
|
|
{ "text": "Architecture", "url": "/api/cython" },
|
|
{ "text": "Structs", "url": "/api/cython-structs" },
|
|
{ "text": "Classes", "url": "/api/cython-classes" }
|
|
]
|
|
}
|
|
]
|
|
}
|
|
]
|