Spring 2022

INFO 259 001 - LEC 001

Natural Language Processing

David Alexander Bamman

Jan 18, 2022 - May 06, 2022

Tu, Th

02:00 pm - 03:29 pm

Lewis 100

Class #:23212

Units: 4

Instruction Mode: In-Person Instruction
Time Conflict Enrollment Allowed

Offered through School of Information

Current Enrollment

Total Open Seats: 5

Enrolled: 13

Waitlisted: 0

Capacity: 18

Waitlist Max: 0

Open Reserved Seats:

13 reserved for Information Management and Systems: Masters & PhD Students

Hours & Workload

3 hours of instructor presentation of course materials per week, and 9 hours of outside work hours per week.

Other classes by David Alexander Bamman

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

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 259 should be directed to studentaffairs@ischool.berkeley.edu.