Training a relation extraction component

[ryanwesslen]

@stella

I forgot, but there is still the issue related to loading a trained model :

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 `@Language.component` (for function components) or `@Language.factory` (for class components).

Available factories: attribute_ruler, tok2vec, merge_noun_chunks, merge_entities, merge_subtokens, token_splitter, doc_cleaner, parser, beam_parser, lemmatizer, trainable_lemmatizer, entity_linker, ner, beam_ner, entity_ruler, tagger, morphologizer, senter, sentencizer, textcat, spancat, spancat_singlelabel, future_entity_ruler, span_ruler, textcat_multilabel, en.lemmatizer

As per the error, it sounds like you may not be passing the tutorial’s config that creates this component.

Are you running your command like the tutorial does:

python -m spacy train configs/rel_tok2vec.cfg --output training --paths.train train.spacy --paths.dev dev.spacy -c ./scripts/custom_functions.py