Frontiers in Natural Language Processing
Natural Language Processing (NLP) is an important research field in artificial intelligence. NLP mainly studies how to use computer technology to process language texts. The specific research issues of NLP include vocabulary, syntax, semantics, and pragmatics, as well as the recognition, classification, extraction, transformation, and generation of information.
With the emergence of large models such as ChatGPT, research on NLP has undergone many changes. This course will introduce some cutting-edge research in the field of NLP and interpret relevant papers.
With the emergence of large models such as ChatGPT, research on NLP has undergone many changes. This course will introduce some cutting-edge research in the field of NLP and interpret relevant papers.
Lecturer
Date
25th September ~ 25th December, 2023
Location
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| Monday,Wednesday | 14:20 - 16:05 | A3-1-301 | ZOOM 01 | 928 682 9093 | BIMSA |
Prerequisite
1) Machine Learning, including Deep Learning; 2) Python Programming; 3) Fundamentals of Natural Language Processing.
Syllabus
1. Machine Learning for NLP
2. Machine Translation
3. Syntax: Tagging, Chunking and Parsing
4. Information Extraction
5. Information Retrieval and Text Mining
6. Sentiment Analysis, Stylistic Analysis, and Argument Mining
7. Summarization
8. Question Answering
9. Interpretability and Analysis of Models for NLP
10. Computational Social Science and Cultural Analytics
11. Text Generation
12. Multimodality and Language Grounding to Vision, Robotics and Beyond
2. Machine Translation
3. Syntax: Tagging, Chunking and Parsing
4. Information Extraction
5. Information Retrieval and Text Mining
6. Sentiment Analysis, Stylistic Analysis, and Argument Mining
7. Summarization
8. Question Answering
9. Interpretability and Analysis of Models for NLP
10. Computational Social Science and Cultural Analytics
11. Text Generation
12. Multimodality and Language Grounding to Vision, Robotics and Beyond
Reference
[1] Dan Jurafsky and James H. Martin. Speech and Language Processing (3rd ed. draft). https://web.stanford.edu/~jurafsky/slpdraft/.
[2] 宗成庆，统计自然语言处理(第2版)，清华大学出版社
[2] 宗成庆，统计自然语言处理(第2版)，清华大学出版社
Video Public
Yes
Notes Public
Yes
Language
Chinese
Lecturer Intro
Dr. Haihua Xie receives a Ph.D. in Computer Science at Iowa State University in 2015. Before joining BIMSA in Oct. 2021, Dr. Xie worked in the State Key Lab of Digital Publishing Technology, Peking University from 2015-2021. His research interests include Natural Language Processing and Knowledge Service. He published more than 20 papers and obtained 7 invention patents. In 2018, Dr. Xie was selected in the 13th batch of overseas high-level talents in Beijing and was hornored as a "Beijing Distinguished Expert".