Training a natural language processing model with information retrieval model annotations
Topics: Entity based search, Knowledge Graph, Query Fan Out, Search Query Processing
This Google patent outlines methods and systems for improving natural language processing (NLP) models through the integration of information retrieval model annotations. This approach enhances the training of NLP models by utilizing annotated training examples that include part-of-speech tagging and additional information retrieval insights. Ultimately, the trained models aim to better interpret human language in various applications, especially when dealing with complex or poorly structured data like search queries.
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