most citedApplication of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition

9 citations · 9 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2017★ 9 cited

Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition

L. T. Anh, M. Y. Arkhipov, M. S. Burtsev

Named Entity Recognition (NER) is one of the most common tasks of the natural language processing. The purpose of NER is to find and classify tokens in text documents into predefin…