mirror of
https://github.com/explosion/spaCy.git
synced 2025-10-31 16:07:41 +03:00
144 lines
5.8 KiB
Plaintext
144 lines
5.8 KiB
Plaintext
---
|
|
title: What's New in v3.6
|
|
teaser: New features and how to upgrade
|
|
menu:
|
|
- ['New Features', 'features']
|
|
- ['Upgrading Notes', 'upgrading']
|
|
---
|
|
|
|
## New features {id="features",hidden="true"}
|
|
|
|
spaCy v3.6 adds the new [`SpanFinder`](/api/spanfinder) component to the core
|
|
spaCy library and new trained pipelines for Slovenian.
|
|
|
|
### SpanFinder {id="spanfinder"}
|
|
|
|
The [`SpanFinder`](/api/spanfinder) component identifies potentially
|
|
overlapping, unlabeled spans by identifying span start and end tokens. It is
|
|
intended for use in combination with a component like
|
|
[`SpanCategorizer`](/api/spancategorizer) that may further filter or label the
|
|
spans. See our
|
|
[Spancat blog post](https://explosion.ai/blog/spancat#span-finder) for a more
|
|
detailed introduction to the span finder.
|
|
|
|
To train a pipeline with `span_finder` + `spancat`, remember to add
|
|
`span_finder` (and its `tok2vec` or `transformer` if required) to
|
|
`[training.annotating_components]` so that the `spancat` component can be
|
|
trained directly from its predictions:
|
|
|
|
```ini
|
|
[nlp]
|
|
pipeline = ["tok2vec","span_finder","spancat"]
|
|
|
|
[training]
|
|
annotating_components = ["tok2vec","span_finder"]
|
|
```
|
|
|
|
In practice it can be helpful to initially train the `span_finder` separately
|
|
before [sourcing](/usage/processing-pipelines#sourced-components) it (along with
|
|
its `tok2vec`) into the `spancat` pipeline for further training. Otherwise the
|
|
memory usage can spike for `spancat` in the first few training steps if the
|
|
`span_finder` makes a large number of predictions.
|
|
|
|
### Additional features and improvements {id="additional-features-and-improvements"}
|
|
|
|
- Language updates:
|
|
- Add initial support for Malay.
|
|
- Update Latin defaults to support noun chunks, update lexical/tokenizer
|
|
settings and add example sentences.
|
|
- Support `spancat_singlelabel` in `spacy debug data` CLI.
|
|
- Add `doc.spans` rendering to `spacy evaluate` CLI displaCy output.
|
|
- Support custom token/lexeme attribute for vectors.
|
|
- Add option to return scores separately keyed by component name with
|
|
`spacy evaluate --per-component`, `Language.evaluate(per_component=True)` and
|
|
`Scorer.score(per_component=True)`. This is useful when the pipeline contains
|
|
more than one of the same component like `textcat` that may have overlapping
|
|
scores keys.
|
|
- Typing updates for `PhraseMatcher` and `SpanGroup`.
|
|
|
|
## Trained pipelines {id="pipelines"}
|
|
|
|
### New trained pipelines {id="new-pipelines"}
|
|
|
|
v3.6 introduces new pipelines for Slovenian, which use the trainable lemmatizer
|
|
and [floret vectors](https://github.com/explosion/floret).
|
|
|
|
| Package | UPOS | Parser LAS | NER F |
|
|
| ------------------------------------------------- | ---: | ---------: | ----: |
|
|
| [`sl_core_news_sm`](/models/sl#sl_core_news_sm) | 96.9 | 82.1 | 62.9 |
|
|
| [`sl_core_news_md`](/models/sl#sl_core_news_md) | 97.6 | 84.3 | 73.5 |
|
|
| [`sl_core_news_lg`](/models/sl#sl_core_news_lg) | 97.7 | 84.3 | 79.0 |
|
|
| [`sl_core_news_trf`](/models/sl#sl_core_news_trf) | 99.0 | 91.7 | 90.0 |
|
|
|
|
### Pipeline updates {id="pipeline-updates"}
|
|
|
|
The English pipelines have been updated to improve handling of contractions with
|
|
various apostrophes and to lemmatize "get" as a passive auxiliary.
|
|
|
|
The Danish pipeline `da_core_news_trf` has been updated to use
|
|
[`vesteinn/DanskBERT`](https://huggingface.co/vesteinn/DanskBERT) with
|
|
performance improvements across the board.
|
|
|
|
## Notes about upgrading from v3.5 {id="upgrading"}
|
|
|
|
### SpanGroup spans are now required to be from the same doc {id="spangroup-spans"}
|
|
|
|
When initializing a `SpanGroup`, there is a new check to verify that all added
|
|
spans refer to the current doc. Without this check, it was possible to run into
|
|
string store or other errors.
|
|
|
|
One place this may crop up is when creating `Example` objects for training with
|
|
custom spans:
|
|
|
|
```diff
|
|
doc = Doc(nlp.vocab, words=tokens) # predicted doc
|
|
example = Example.from_dict(doc, {"ner": iob_tags})
|
|
# use the reference doc when creating reference spans
|
|
- span = Span(doc, 0, 5, "ORG")
|
|
+ span = Span(example.reference, 0, 5, "ORG")
|
|
example.reference.spans[spans_key] = [span]
|
|
```
|
|
|
|
### Pipeline package version compatibility {id="version-compat"}
|
|
|
|
> #### Using legacy implementations
|
|
>
|
|
> In spaCy v3, you'll still be able to load and reference legacy implementations
|
|
> via [`spacy-legacy`](https://github.com/explosion/spacy-legacy), even if the
|
|
> components or architectures change and newer versions are available in the
|
|
> core library.
|
|
|
|
When you're loading a pipeline package trained with an earlier version of spaCy
|
|
v3, you will see a warning telling you that the pipeline may be incompatible.
|
|
This doesn't necessarily have to be true, but we recommend running your
|
|
pipelines against your test suite or evaluation data to make sure there are no
|
|
unexpected results.
|
|
|
|
If you're using one of the [trained pipelines](/models) we provide, you should
|
|
run [`spacy download`](/api/cli#download) to update to the latest version. To
|
|
see an overview of all installed packages and their compatibility, you can run
|
|
[`spacy validate`](/api/cli#validate).
|
|
|
|
If you've trained your own custom pipeline and you've confirmed that it's still
|
|
working as expected, you can update the spaCy version requirements in the
|
|
[`meta.json`](/api/data-formats#meta):
|
|
|
|
```diff
|
|
- "spacy_version": ">=3.5.0,<3.6.0",
|
|
+ "spacy_version": ">=3.5.0,<3.7.0",
|
|
```
|
|
|
|
### Updating v3.5 configs
|
|
|
|
To update a config from spaCy v3.5 with the new v3.6 settings, run
|
|
[`init fill-config`](/api/cli#init-fill-config):
|
|
|
|
```cli
|
|
$ python -m spacy init fill-config config-v3.5.cfg config-v3.6.cfg
|
|
```
|
|
|
|
In many cases ([`spacy train`](/api/cli#train),
|
|
[`spacy.load`](/api/top-level#spacy.load)), the new defaults will be filled in
|
|
automatically, but you'll need to fill in the new settings to run
|
|
[`debug config`](/api/cli#debug) and [`debug data`](/api/cli#debug-data).
|