Spring 2022
INFO 159 001 - LEC 001
Natural Language Processing
David Alexander Bamman
Class #:23213
Units: 4
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
School of Information
Current Enrollment
Total Open Seats:
8
Enrolled: 234
Waitlisted: 0
Capacity: 242
Waitlist Max: 0
Open Reserved Seats:
7 unreserved seats
1 reserved for Students with 7 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
MON, MAY 9TH
11:30 am - 02:30 pm
Other classes by David Alexander 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.
Class Notes
Please check back in PH2 if there is space on the waitlist. This class is extremely full and popular with limited space. Students should plan on a backup class if you cannot get into this course.
Time conflicts for this version of the class will be allowed.
The lecture for .. show more
Time conflicts for this version of the class will be allowed.
The lecture for .. show more
Please check back in PH2 if there is space on the waitlist. This class is extremely full and popular with limited space. Students should plan on a backup class if you cannot get into this course.
Time conflicts for this version of the class will be allowed.
The lecture for this class will be recorded via course capture and exams will be take-home.
Questions regarding INFO 159 should be directed to studentaffairs@ischool.berkeley.edu. show less
Time conflicts for this version of the class will be allowed.
The lecture for this class will be recorded via course capture and exams will be take-home.
Questions regarding INFO 159 should be directed to studentaffairs@ischool.berkeley.edu. show less
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
Open Reserved Seats:
7 unreserved seats
1 reserved for Students with 7 or more Terms in Attendance
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