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Update architectures

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Paul O'Leary McCann 2022-08-04 15:36:40 +09:00
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website/docs/api/architectures.md
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@ -923,15 +923,15 @@ plausible [`Candidate`](/api/kb/#candidate) objects. The default
`CandidateGenerator` uses the text of a mention to find its potential aliases in `CandidateGenerator` uses the text of a mention to find its potential aliases in
the `KnowledgeBase`. Note that this function is case-dependent. the `KnowledgeBase`. Note that this function is case-dependent.
## Coreference Architectures ## Coreference Architectures {#coref-architectures tag="experimental" new="3.4"}
A [`CoreferenceResolver`](/api/coref) component identifies tokens that refer to A [`CoreferenceResolver`](/api/coref) component identifies tokens that refer to
the same entity. A [`SpanPredictor`](/api/span-predictor) component infers spans the same entity. A [`SpanResolver`](/api/span-resolver) component infers spans
from single tokens. Together these components can be used to reproduce from single tokens. Together these components can be used to reproduce
traditional coreference models. You can also omit the `SpanPredictor` for faster traditional coreference models. You can also omit the `SpanResolver` for faster
performance if working with only token-level clusters is acceptable. performance if working with only token-level clusters is acceptable.
### spacy.Coref.v1 {#Coref} ### spacy.Coref.v1 {#Coref tag="experimental"}
> #### Example Config > #### Example Config
> >
@ -966,14 +966,14 @@ The `Coref` model architecture is a Thinc `Model`.
| `antecedent_batch_size` | Internal batch size. ~~int~~ | | `antecedent_batch_size` | Internal batch size. ~~int~~ |
| **CREATES** | The model using the architecture. ~~Model[List[Doc], Floats2d]~~ | | **CREATES** | The model using the architecture. ~~Model[List[Doc], Floats2d]~~ |
### spacy.SpanPredictor.v1 {#SpanPredictor} ### spacy.SpanResolver.v1 {#SpanResolver tag="experimental"}
> #### Example Config > #### Example Config
> >
> ```ini > ```ini
> >
> [model] > [model]
> @architectures = "spacy.SpanPredictor.v1" > @architectures = "spacy.SpanResolver.v1"
> hidden_size = 1024 > hidden_size = 1024
> distance_embedding_size = 64 > distance_embedding_size = 64
> conv_channels = 4 > conv_channels = 4
@ -988,7 +988,7 @@ The `Coref` model architecture is a Thinc `Model`.
> pooling = {"@layers":"reduce_mean.v1"} > pooling = {"@layers":"reduce_mean.v1"}
> ``` > ```
The `SpanPredictor` model architecture is a Thinc `Model`. The `SpanResolver` model architecture is a Thinc `Model`.
| Name | Description | | Name | Description |
| ------------------------- | ----------------------------------------------------------------------------------------------------------------------------- | | ------------------------- | ----------------------------------------------------------------------------------------------------------------------------- |