报告题目：Natural Language Processing: State of The Art, Current Trends and Challenges

报告摘要：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.

报告人简介：刘伟伯，英国布鲁奈尔大学计算机系讲师，博士生导师。于2020年4月在英国布鲁奈尔大学计算机系获得博士学位。主要研究方向包括智能数据分析、演化计算、迁移学习、机器学习、深度学习、医疗数据分析和工业大数据。曾获2019年国家优秀自费留学生奖学金。目前担任国际学术期刊Journal of Ambient Intelligence and Humanized Computing和Journal of Cognitive Computation的副编辑，同时也担任多个国际期刊和会议的审稿人。

报告时间：2025年8月11日（星期一）下午 3:30

报告地点：扬州大学瘦西湖校区数学学院208报告厅

联系人：刘玉荣

主办单位：扬州大学数学学院

欢迎广大师生参加！