spaCy/website/meta/sidebars.json
Matthew Honnibal f9946154d9
Add SpanCategorizer component (#6747)
* Draft spancat model

* Add spancat model

* Add test for extract_spans

* Add extract_spans layer

* Upd extract_spans

* Add spancat model

* Add test for spancat model

* Upd spancat model

* Update spancat component

* Upd spancat

* Update spancat model

* Add quick spancat test

* Import SpanCategorizer

* Fix SpanCategorizer component

* Import SpanGroup

* Fix span extraction

* Fix import

* Fix import

* Upd model

* Update spancat models

* Add scoring, update defaults

* Update and add docs

* Fix type

* Update spacy/ml/extract_spans.py

* Auto-format and fix import

* Fix comment

* Fix type

* Fix type

* Update website/docs/api/spancategorizer.md

* Fix comment

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Better defense

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Fix labels list

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Update spacy/ml/extract_spans.py

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Update spacy/pipeline/spancat.py

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Set annotations during update

* Set annotations in spancat

* fix imports in test

* Update spacy/pipeline/spancat.py

* replace MaxoutLogistic with LinearLogistic

* fix config

* various small fixes

* remove set_annotations parameter in update

* use our beloved tupley format with recent support for doc.spans

* bugfix to allow renaming the default span_key (scores weren't showing up)

* use different key in docs example

* change defaults to better-working parameters from project (WIP)

* register spacy.extract_spans.v1 for legacy purposes

* Upd dev version so can build wheel

* layers instead of architectures for smaller building blocks

* Update website/docs/api/spancategorizer.md

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>

* Update website/docs/api/spancategorizer.md

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>

* Include additional scores from overrides in combined score weights

* Parameterize spans key in scoring

Parameterize the `SpanCategorizer` `spans_key` for scoring purposes so
that it's possible to evaluate multiple `spancat` components in the same
pipeline.

* Use the (intentionally very short) default spans key `sc` in the
  `SpanCategorizer`
* Adjust the default score weights to include the default key
* Adjust the scorer to use `spans_{spans_key}` as the prefix for the
  returned score
* Revert addition of `attr_name` argument to `score_spans` and adjust
  the key in the `getter` instead.

Note that for `spancat` components with a custom `span_key`, the score
weights currently need to be modified manually in
`[training.score_weights]` for them to be available during training. To
suppress the default score weights `spans_sc_p/r/f` during training, set
them to `null` in `[training.score_weights]`.

* Update website/docs/api/scorer.md

* Fix scorer for spans key containing underscore

* Increment version

* Add Spans to Evaluate CLI (#8439)

* Add Spans to Evaluate CLI

* Change to spans_key

* Add spans per_type output

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>

* Fix spancat GPU issues (#8455)

* Fix GPU issues

* Require thinc >=8.0.6

* Switch to glorot_uniform_init

* Fix and test ngram suggester

* Include final ngram in doc for all sizes
* Fix ngrams for docs of the same length as ngram size
* Handle batches of docs that result in no ngrams
* Add tests

Co-authored-by: Ines Montani <ines@ines.io>
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
Co-authored-by: Nirant <NirantK@users.noreply.github.com>
2021-06-24 12:35:27 +02:00

146 lines
6.3 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 v3.0", "url": "/usage/v3" }
]
},
{
"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": "Embeddings & Transformers",
"url": "/usage/embeddings-transformers",
"tag": "new"
},
{ "text": "Training Models", "url": "/usage/training", "tag": "new" },
{
"text": "Layers & Model Architectures",
"url": "/usage/layers-architectures",
"tag": "new"
},
{ "text": "spaCy Projects", "url": "/usage/projects", "tag": "new" },
{ "text": "Saving & Loading", "url": "/usage/saving-loading" },
{ "text": "Visualizers", "url": "/usage/visualizers" }
]
},
{
"label": "Resources",
"items": [
{ "text": "Project Templates", "url": "https://github.com/explosion/projects" },
{ "text": "v2.x Documentation", "url": "https://v2.spacy.io" }
]
}
]
},
{
"section": "models",
"items": [
{
"label": "Models",
"items": [{ "text": "Overview", "url": "/models" }]
},
{
"label": "Trained Pipelines",
"items": []
}
]
},
{
"section": "api",
"items": [
{
"label": "Overview",
"items": [
{ "text": "Library Architecture", "url": "/api" },
{ "text": "Model Architectures", "url": "/api/architectures" },
{ "text": "Data Formats", "url": "/api/data-formats" },
{ "text": "Command Line", "url": "/api/cli" },
{ "text": "Functions", "url": "/api/top-level" }
]
},
{
"label": "Containers",
"items": [
{ "text": "Doc", "url": "/api/doc" },
{ "text": "DocBin", "url": "/api/docbin" },
{ "text": "Example", "url": "/api/example" },
{ "text": "Language", "url": "/api/language" },
{ "text": "Lexeme", "url": "/api/lexeme" },
{ "text": "Span", "url": "/api/span" },
{ "text": "SpanGroup", "url": "/api/spangroup" },
{ "text": "Token", "url": "/api/token" }
]
},
{
"label": "Pipeline",
"items": [
{ "text": "AttributeRuler", "url": "/api/attributeruler" },
{ "text": "DependencyParser", "url": "/api/dependencyparser" },
{ "text": "EntityLinker", "url": "/api/entitylinker" },
{ "text": "EntityRecognizer", "url": "/api/entityrecognizer" },
{ "text": "EntityRuler", "url": "/api/entityruler" },
{ "text": "Lemmatizer", "url": "/api/lemmatizer" },
{ "text": "Morphologizer", "url": "/api/morphologizer" },
{ "text": "SentenceRecognizer", "url": "/api/sentencerecognizer" },
{ "text": "Sentencizer", "url": "/api/sentencizer" },
{ "text": "SpanCategorizer", "url": "/api/spancategorizer" },
{ "text": "Tagger", "url": "/api/tagger" },
{ "text": "TextCategorizer", "url": "/api/textcategorizer" },
{ "text": "Tok2Vec", "url": "/api/tok2vec" },
{ "text": "Tokenizer", "url": "/api/tokenizer" },
{ "text": "TrainablePipe", "url": "/api/pipe" },
{ "text": "Transformer", "url": "/api/transformer" },
{ "text": "Other Functions", "url": "/api/pipeline-functions" }
]
},
{
"label": "Matchers",
"items": [
{ "text": "DependencyMatcher", "url": "/api/dependencymatcher" },
{ "text": "Matcher", "url": "/api/matcher" },
{ "text": "PhraseMatcher", "url": "/api/phrasematcher" }
]
},
{
"label": "Other",
"items": [
{ "text": "Corpus", "url": "/api/corpus" },
{ "text": "KnowledgeBase", "url": "/api/kb" },
{ "text": "Lookups", "url": "/api/lookups" },
{ "text": "MorphAnalysis", "url": "/api/morphology#morphanalysis" },
{ "text": "Morphology", "url": "/api/morphology" },
{ "text": "Scorer", "url": "/api/scorer" },
{ "text": "StringStore", "url": "/api/stringstore" },
{ "text": "Vectors", "url": "/api/vectors" },
{ "text": "Vocab", "url": "/api/vocab" }
]
},
{
"label": "Cython",
"items": [
{ "text": "Architecture", "url": "/api/cython" },
{ "text": "Classes", "url": "/api/cython-classes" },
{ "text": "Structs", "url": "/api/cython-structs" }
]
},
{
"label": "Legacy",
"items": [
{ "text": "Legacy functions", "url": "/api/legacy" }
]
}
]
}
]