I am going to add a custom entityruler in spacy. But I got faced a few errors when I run the following code.
from spacy.pipeline import EntityRuler
nlp = spacy.load("ja_core_news_lg")
patterns = [{"label": "PROVINCE", "pattern": '愛知県'}]
ruler = EntityRuler(nlp, overwrite_ents=True)
ruler.add_patterns(patterns)
nlp.add_pipe(ruler, before="ner")
The error says like this:
ValueError: [E966] `nlp.add_pipe` now takes the string name of the registered component factory, not a callable component. Expected string, but got <spacy.pipeline.entityruler.EntityRuler object at 0x000001B84E8E9780> (name: 'None').
- If you created your component with `nlp.create_pipe('name')`: remove nlp.create_pipe and call `nlp.add_pipe('name')` instead.
- If you passed in a component like `TextCategorizer()`: call `nlp.add_pipe` with the string name instead, e.g. `nlp.add_pipe('textcat')`.
- If you're using a custom component: Add the decorator `@Language.component` (for function components) or `@Language.factory` (for class components / factories) to your custom component and assign it a name, e.g. `@Language.component('your_name')`. You can then run `nlp.add_pipe('your_name')` to add it to the pipeline.
