Chinese Named Entity Recognition Based on Long Short Term Memory Networks

Subjects: Computer Science >> Natural Language Understanding and Machine Translation submitted time 2024-01-07

GuanHaoyu

Abstract： During the literature review process, we focused on the work related to named entity recognition of the LSTM model, which has a wide range of applications in the field of named entity recognition. The English NER field has developed rapidly. As the project goal is to achieve Chinese named entity recognition, we discovered the gradual application of LSTM in the development of Chinese NER. LSTM is a variant of RNN, and its core concepts are cell state and "gate" structure.

Peer Review Status:Awaiting Review

 Hits 497  Downloads 156  Comment