SPACY v3: Custom trainable relation extraction component
Why Stack Overflow recommends it
Stack Overflow users link it when answering or asking about relation extraction, custom Thinc models, and trainable components in spaCy 3.
Recommended by 2 people across 2 different months, 2021 to 2022.
What it is
A 38-minute tutorial from Explosion, the makers of spaCy, showing how to build a custom trainable relation extraction component in spaCy v3. It covers designing the ML model in Thinc, the config file, the TrainablePipe API, and running everything as a spaCy project, with an optional transformer model.
What people said
Recommends Sofie VL · 2021-05 · Stack Overflow · on “Custom model for spacy 3.0 implemented using tensorflow”
Just to clarify: the repository you linked does not showcase a Pytorch model for relation extraction in spaCy - in fact it uses the ML library Thinc [LINK] to implement the model. You can find more details on that in the corresponding video tutorial [this video] . The key point to remember is that spaCy works with Thinc models under the hood, but Thinc provides wrappers [LINK] for Pytorch and Tensorflow. To use those in spaCy, you can follow the documentation here [LINK] . In a nutshell, you should be able to do something like this: from thinc.api import TensorFlowWrapper wrapped_model = TensorFlowWrapper(your_tf_model) The wrapped_model will now be a Thinc model that you can use to power your (c
Recommends yco · 2022-02 · Stack Overflow · on “is there a method to detect person and associate a text?”
You might be interested also in relation extraction rather than just position-based unselective context retrieval. [this video]
Cites lucerna_juris · 2022-12 · Stack Overflow · on “Spacy ValueError: [E002] Can't find factory for 'relation_extractor' for language English (en)”
I want to train a "relation extractor" component as in this tutorial [this video] . I have 3 .spacy files (train.spacy, dev.spacy, test.spacy. I run: python3 -m spacy init fill-config config.cfg config.cfg followed by python3 -m spacy train --output ./model config.cfg --paths.train train.spacy --paths.dev dev.spacy Output: ValueError: [E002] Can't find factory for 'relation_extractor' for language English (en). This usually happens when spaCy calls `nlp.create_pipe` with a custom component name that's not registered on the current language class. If you're using a Transformer, make sure to install 'spacy-transformers'. If you're using a custom component, make sure you've added the decorator `@Lan