Title：Natural Language Processing: State of The Art, Current Trends and Challenges

Abstract：This talk comprehensively analyzes the state-of-the-art techniques, current research trends, and challenges in Natural Language Processing (NLP). We start with the traditional recurrent neural network (RNN) and discuss how Seq2Seq model operates for NLP tasks. Then, the developments of traditional RNN will be covered. Next, we will discuss Transformer-based models that dominate the cutting-edge advancements. Emerging trends including cognitive intelligence enhancement, low-resource language adaptation, and industrial deployment will be covered. The findings provide strategic insights for both academia and industry.

Speaker：Liu Weibo，Brunel University.

Date：3:30 p.m., 2025-8-11 (Monday).

Venue: 56#208

Inviter：Liu Yurong

Organizer：School of Mathematics

Students and teachers are welcome.