Spring 2025
INFO 159 001 - LEC 001
Natural Language Processing
David Bamman
Class #:30619
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
School of Information
Current Enrollment
Total Open Seats:
5
Enrolled: 195
Waitlisted: 0
Capacity: 200
Waitlist Max: 0
Open Reserved Seats:
25 reserved for Students with Enrollment Permission
5 reserved for Data Science Majors with 5 or more Terms in Attendance
Hours & Workload
9 hours of outside work hours per week, and 3 hours of instructor presentation of course materials per week.
Final Exam
FRI, MAY 16TH
07:00 pm - 10:00 pm
Other classes by David Bamman
Course Catalog Description
This course introduces students to natural language processing and exposes them to the variety of methods available for reasoning about text in computational systems. NLP is deeply interdisciplinary, drawing on both linguistics and computer science, and helps drive much contemporary work in text analysis (as used in computational social science, the digital humanities, and computational journalism). We will focus on major algorithms used in NLP for various applications (part-of-speech tagging, parsing, coreference resolution, machine translation) and on the linguistic phenomena those algorithms attempt to model. Students will implement algorithms and create linguistically annotated data on which those algorithms depend.
Rules & Requirements
Requisites
- COMPSCI 61B; COMPSCI 70, COMPSCI C100 / STAT C100 / DATA C100, MATH 55, STAT 134 or STAT C140 / DATA C140; strong programming skills.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Reserved Seating For This Term
Current Enrollment
Open Reserved Seats:
Terms in Attendance:
Undergraduate Classifications Information
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None