Named entity recognition aims to detect entities that refer to people, locations, organizations and similar in a given sentence.
This project involves reimplementing a recent NER tagger that is shown to surpass the state-of-the-art performance for morphologically rich languages [1].
We will employ a software framework that is specific to NLP to easily build, train, evaluate and deploy the new tagger, i.e. Stanza, Flair or Huggingface.
We will also add some new features to exploit all types of word embeddings easily.
