CS5740 SP19

Time: TuThu, 10:55am-12:10pm
Room: Bloomberg 161
Class listing: CS5740

Instructor: Yoav Artzi
Office hours: Tuesday, 4:30pm-5:30pm
Location: Bloomberg 371

Teaching assistants: Xinya Du and Valts Blukis
Graders: Emily Tseng, Kelly Wang, and Iris Zhang
TA Office hours: Friday, 11:00am-12:00pm
Location: Bloomberg 360

CMS | Piazza

CS5740: Natural Language Processing (Spring 2019)

This course constitutes a depth-first technical introduction to natural language processing (NLP). NLP is at the heart of many of today’s most exciting technological achievements, including machine translation, automatic conversational assistants and Internet search. The goal of the course is to provide a deep understanding of the language of the field, including algorithms, core problems, methods, and data. Possible topics include text classification, lexical semantics, language modeling, machine translation, tagging and sequence modeling, parsing, compositional semantics, summarization, question answering, language grounding, information extraction, and sentiment analysis.

This course is not about using off-the-shelf NLP tools. If you are interested in tools and frameworks, the resources section includes pointers to get your search started and questions answered.