Template | Description |
---|---|
nel_emerson |
Disambiguation of "Emerson" mentions in sentences (Entity Linking) |
ner_double |
Combining Multiple Trained NER Components |
ner_drugs |
Detecting drug names in online comments (Named Entity Recognition) |
ner_fashion_brands |
Detecting fashion brands in online comments (Named Entity Recognition) |
ner_food_ingredients |
Analyzing how mentions of ingredients change over time (Named Entity Recognition) |
ner_multiple_trials |
Training a named-entity recognition (NER) with multiple trials |
ner_pytorch_medical |
Detecting entities in Medical Records with PyTorch |
ner_tweets |
Detecting people entities in tweets (Named Entity Recognition) |
parser_low_resource |
Training a POS tagger and dependency parser for a low-resource language |
rel_component |
Example project of creating a novel nlp component to do relation extraction from scratch. |
spancat_food_ingredients |
Span Categorization in Prodigy |
spanruler_restaurant_reviews |
Using SpanRuler for rule-based Named Entity Recognition |
textcat_docs_issues |
Predicting whether a GitHub issue is about documentation (Text Classification) |
textcat_goemotions |
Categorization of emotions in Reddit posts (Text Classification) |
tutorials
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