CS 598 HJ - Knowledge-driven Nat Lang Gen
Last offered Spring 2022
Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.
In this course we will teach machines to describe knowledge they have learned from data. We will develop a set of intelligent systems which can transform structured knowledge bases into natural language, which is an opposite direction of Information Extraction. The topics will cover both of the conventional template filling based approaches and modern neural networks based generation approaches. We will dive deep into various technical components: how to represent knowledge, how to feed knowledge into a generation model, how to evaluate generation results? We will do three project-based assignments and a final term project interesting applications including: 1. News image and video caption generation to describe entities and events 2. Generate scripts for news videos 3. Generate scientific ideas and write technical papers 4. Write technical reviews from various perspectives 5. Write a bio for all kinds of professionals 6. Write a news article about scientific discovery results and pe
|Knowledge-driven Nat Lang Gen||HJ||39664||S5||4||1400 - 1515||W F||1103 Siebel Center for Comp Sci||Heng Ji|