2022 Spring INFO 159 001 LEC 001

Spring 2022

INFO 159 001 - LEC 001

Natural Language Processing

David Alexander Bamman

Jan 18, 2022 - May 06, 2022
Tu, Th
02:00 pm - 03:29 pm
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
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

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.

Textbook Lookup

Guide to Open, Free, & Affordable Course Materials

eTextbooks

Associated Sections

None