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explosion spaCy Help-best-practices Discussions
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📚 Help: Best practices Discussions
Discuss best practices, tips and tricks
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You must be logged in to vote 📚 Working with GPUs and Cuda
gpuUsing spaCy on GPU -
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You must be logged in to vote 📚 Training NER on Large Dataset
trainingTraining and updating models feat / nerFeature: Named Entity Recognizer scalingScaling, serving and parallelizing spaCy -
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You must be logged in to vote 📚 Training NER Model on Large Dataset using CPU
trainingTraining and updating models feat / nerFeature: Named Entity Recognizer perf / memoryPerformance: memory use -
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You must be logged in to vote 📚 Text or sentences?
usageGeneral spaCy usage feat / nerFeature: Named Entity Recognizer -
You must be logged in to vote 📚 Anyway to train ner with embeddings?
usageGeneral spaCy usage feat / nerFeature: Named Entity Recognizer feat / vectorsFeature: Word vectors and similarity -
You must be logged in to vote 📚 SpanRuler to indicate spans of arbitary length
usageGeneral spaCy usage feat / matcherFeature: Token, phrase and dependency matcher -
You must be logged in to vote 📚 Extracting Error Messages from Documents
usageGeneral spaCy usage feat / nerFeature: Named Entity Recognizer feat / spancatFeature: Span Categorizer -
You must be logged in to vote 📚 Improve custom NER model performance for different input texts
trainingTraining and updating models feat / nerFeature: Named Entity Recognizer -
You must be logged in to vote 📚 displacy.js for NER
feat / visualizersFeature: Built-in displaCy and other visualizers -
You must be logged in to vote 📚 Where to do preprocessing step when training and using
trainingtextcatmodel?Training and updating models feat / textcatFeature: Text Classifier -
You must be logged in to vote 📚 Lemmatization when Code Switching
feat / lemmatizerFeature: Rule-based and lookup lemmatization -
You must be logged in to vote 📚 Recognizing concatenated entities
feat / nerFeature: Named Entity Recognizer feat / tokenizerFeature: Tokenizer -
You must be logged in to vote 📚 Training pipelines (tok, lem, morph, parse) together or separately?
feat / tok2vecFeature: Token-to-vector layer and pretraining -
You must be logged in to vote 📚 NumPy as np?
metaMeta topics, e.g. repo organisation and issue management