Optimizing Named Entity Recognition Using Deep Learning Techniques: A BiLSTM and LSTM Model
Abhishek Singh, Saurabh Sharma, Zohaib Hasan, Vishal Paranjape · International Journal of Innovative Research in Computer and Communication Engineering · 2023
This research explores the implementation and efficacy of a Bidirectional Long Short-Term Memory (BiLSTM) model combined with an additional LSTM layer for Named Entity Recognition (NER) tasks. The model is trained and evaluated on a publicly available NER dataset, showcasing its capability to identify and categorize named entities in text. The results demonstrate the model's high accuracy and robustness in processing sequential data, highlighting the importance of advanced neural network architectures in natural language processing (NLP).