explosion spaCy Help-best-practices Discussions
Help: Best practices Discussions
Discuss best practices, tips and tricks
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You must be logged in to vote Example for reducing the size of a vocabulary
perf / memoryPerformance: memory use -
You must be logged in to vote spaCy Model for Column auto mapping
usageGeneral spaCy usage -
plain text processing
usageGeneral spaCy usage -
How to encode keywords in spacy/scispacy?
feat / vectorsFeature: Word vectors and similarity -
You must be logged in to vote Sentence categorization doesn't work using CLI train, json_to_tuple issue
feat / trainingFeature: Training utils, Example, Corpus and converters -
Distinguish between Subjects and properties
usageGeneral spaCy usage -
You must be logged in to vote Model forgetting previously trained entities
trainingTraining and updating models -
Guidance on testing model performance when training custom NER entities on a base model
feat / nerFeature: Named Entity Recognizer -
You must be logged in to vote Extracting entity relations with newly trained (from pretrained) named entity recognizer
feat / nerFeature: Named Entity Recognizer -
You must be logged in to vote MemoryError in multilabel textcat with 14k labels and bow architecture
feat / textcatFeature: Text Classifier perf / memoryPerformance: memory use -
Training the model to NOT recognize certain NE
feat / nerFeature: Named Entity Recognizer -
You must be logged in to vote Parallelize TextCategorizer training
feat / textcatFeature: Text Classifier -
You must be logged in to vote Boosting tagger and lemmatizer using additional data
feat / taggerFeature: Part-of-speech tagger feat / parserFeature: Dependency Parser -
You must be logged in to vote Slow training speed for textcat pipeline
feat / textcatFeature: Text Classifier perf / speedPerformance: speed -
How to make NER more consistent? It catches and misses the same entities within the same text.
feat / nerFeature: Named Entity Recognizer -
Should we pass sentences that contain no entities when training NER model?
feat / nerFeature: Named Entity Recognizer -
Using Spacy to extract pharmaceutical active ingredients from madical notes
usageGeneral spaCy usage feat / matcherFeature: Token, phrase and dependency matcher -
Extracting Consumer information from 10-k text
feat / nerFeature: Named Entity Recognizer ✨ prodigyIssues related to using spaCy with the Prodigy annotation tool resolvedThe issue was addressed / answered
