CS372: Natural Language Processing with Python

Instructor

• Jong C. Park

• Email: jongpark@kaist.ac.kr

• Office: E3-1, Room 2406

• Phone: x3541

Teaching Assistants

• Kyunggeun Roh (Head),  Jeongyeon Seo, Soyeong Jeong

• Email: cs372@nlp.kaist.ac.kr

Lecture Hours and Rooms

• 13:00~14:15, Tuesdays and Thursdays

• All Lectures will be offline in E3-2443.

• (may be replaced by Online lectures, depending on the Covid-19 situations)

Exam Hours

• 13:00~15:45, Tuesday / (E3-2443 expected) 

Textbook

• S. Bird, E. Klein and E. Loper, Natural Language Processing with Python, O'Reilly, 2nd edition, 2010

• Will be based on up-to-date version available on the Internet (https://nltk.org)

Evaluation

• • Attendance: 20%

    • Class attendance

    • Occasional quizzes

  • Homework/ Project/ Class Participation: 30%

    • Homework: 8%

    • Project: 20% (Proposal: 6%, Final: 10%, Report: 4%)

    • Class participation: 2%

  • Midterm Exam: 25% (in-class, closed)

  • Final Exam: 25% (in-class, closed)

Grading will be A/B/C +/0/-. 

Lecture Schedule

• Week 1: Language Processing and Python

• Week 2: Accessing Text Corpora and Lexical Resources

• Week 3: Processing Raw Text I

• Week 4: Processing Raw Text II

• Week 5: Writing Structured Programs

• Week 6: Categorizing and Tagging Words

• Week 7: Project Proposal Presentations

• Week 8: Midterm Exam (4/18)

• Week 9: Extracting Information from Text I

• Week 10: Extracting Information from Text II

• Week 11: Analyzing Sentence Structure

• Week 12: Building Feature-Based Grammars

• Week 13: Analyzing the Meaning of Sentences

• Week 14: Managing Linguistic Data

• Week 15: Final Project Presentation (6/1 & 6/8)

• Week 16: Final Exam (6/13) 

Memo

 To be added.