wikineural-multilingual-ner is a BERT-based token classification model trained on the WikiNEuRal dataset for named entity recognition. It supports 10 languages including English, French, German, Italian, Polish, Portuguese, Russian, Spanish, Dutch, and Romanian. The model is distributed on Hugging Face and can be used via the Transformers library for zero-shot or fine-tuned entity extraction tasks.
Wikineural Multilingual Ner sits in PulseGate's Other AI category. It focuses on identifying and classifying named entities in text across multiple languages without building custom models. Wikineural Multilingual Ner is an open-source project aimed at developers. The project is open source (Open Source). Wikineural Multilingual Ner is available on the web and API.
Babelscape builds and maintains Wikineural Multilingual Ner, and the product first shipped in 2021. The project is developed in the open on GitHub with 72 stars. Among its 3 catalogued features are Named Entity Recognition, Multilingual Support, and Transformers Integration.
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