What is it about?
TNNT (The NLP/NER Toolkit) is a toolkit that combines under a uniform umbrella 21 different models for "Named-Entity Recognition" (NER), that is, a mechanism to recognise named-entities (persons, locations, organisations, products, events, etc.) from textual sources.
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Why is it important?
This toolkit groups under the same processing mechanism several NER models. TNNT is integrated with another tool, namely the "Metadata Extractor & Loader" (MEL) in order to smoothly extract text from unstructured files and automate the recognition task of named entities.
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This page is a summary of: TNNT, December 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3460210.3493550.
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