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Deep learning models that detect and categorize specific entity types across multiple languages.
Distinct from Domain Entity Identification: Existing candidates focus on database schema unification or visual entity detection, not linguistic entity classification.
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Spark NLP is a toolkit for scalable text analysis and machine learning built on the Apache Spark distributed computing framework. It provides a multimodal machine learning framework and a distributed pipeline system for sequencing annotators to process large-scale linguistic data. The library includes a transformer text processor for generating contextual vector embeddings and a dedicated inference engine for managing large language models. The project distinguishes itself through its ability to process heterogeneous data types, including text, audio, and images, within a unified vision-langu
Detects and classifies specific entity types within text across multiple languages using deep learning models.