語言處理應用實踐

本課程涵蓋如何經由程式設計實作語言處理資訊系統,透過資料分析和機器/深度學習的過程,解決不同面向的應用問題,課程目標是學習如何落實人工智慧技術,並藉由專題實作解決應用問題,藉由全程參與語言處理國際競賽,在規範時程內完成系統開發,加強團隊成員協同合作爭取佳績,並完成系統論文投稿。本課程適合精熟程式設計與自然語言處理技術的同學選修。 This course covers how to implement NLP information systems through programming, and solve different application problems through the process of data analysis and machine/deep learning. The goal of the course is to learn how to implement AI technology for solving real-life problems through special projects. For application issues, by fully participating in international NLP competitions, system development will be completed within the standardized timetable, team members will be strengthened to work together to achieve good results, and the system paper submission for the shared task will be completed. This course is suitable for students who are proficient in programming and natural language processing technology.

修過 (1) 自然語言處理、 (2) 機器學習 及 (3) 深度學習課程,需具備Python程式設計能力,本課程全程參與自然語言處理國際競賽,並完成系統論文投稿。 Students who have taken 1) Natural Language Processing, 2) Machine Learning and (3) Deep Learning courses are required. In addition, students need excellent Python programming skills to participate in the international NLP competition throughout the course and complete the system paper submission for the shared task.

本課程前半以講授人工智慧核心技術應具備的知識為主,後半著重於選定的自然語言處理應用主題,針對該應用做全面的技術論文閱讀研討,了解最新的研究發展,並設計開發參與國際競賽的語言處理系統模型,在規範的時程內完成實作,上傳模型測試結果參與公開評測,藉由專題實作解決語言處理實務問題,落實人工智慧技術應用。修習完本課程的同學應具備以下的能力: (1) 了解自然語言處理應用與技術發展 (2) 可自行研讀人工智慧技術相關的論文 (3) 具備全程參與國際競賽的能力 The first half of this course focuses on teaching the knowledge required for the AI core technologies. The second half focuses on the selected NLP application topics. Comprehensive technical paper reading and discussion on the application will help you understand the latest research and development. The NLP system designed for the international competition will be implemented within a standardized timetable, and the test results will be uploaded to participate in public evaluation. Practical problems in language processing are solved through thematic implementation, and the application of artificial intelligence technology is implemented. Students who complete this course should have the following abilities: (1) Understand natural language processing applications and technology development (2) Study papers related to artificial intelligence technology on your own (3) Have the ability to participate in international competitions throughout the process

論文報告 Paper presentation (30%) 語言處理系統實作 NLP system implementation (50%) 系統論文撰寫 System paper submission (20%)

指定論文 selected papers & 技術文件 technical documents

地點

In-person or online

時間

事先約定時間 By appointment

聯絡方式

By Email: lhlee@nycu.edu.tw