In this article, we shall discuss on how to use a recurrent neural network to solve Named Entity Recognition  (NER ) problem. NER is a common task in NLP systems. Given a text document, a NER system aims at extracting the entities (e.g., persons, organizations, locations, etc.) from the text. Here, a BiLSTM  (bi-directional long short term memory) will be used to recognize the named entities from Twitter texts. This problem appears as an assignment in the Coursera course Natural Language Processing  by National Research University Higher School of Economics , it’s a part of Advanced Machine Learning  Specialization. The problem is taken from the assignment.

#nlp #nlp-courses #bi-lstm #python