Course Description
Special topics and current issues in computational linguistics.
Athena Title
Computational Linguistics
Prerequisite
Permission of department
Semester Course Offered
Offered fall and spring
Grading System
A - F (Traditional)
Course Objectives
The main objective of this course is to promote awareness and familiarity with the current state of the art in computational linguistics, which is a challenge in a field where hundreds of new research results are published every quarter. To meet this challenge, students will read and discuss papers in two categories: a. foundational – journal-article length, reviews an entire subfield b. research – conference-paper length, reports a cluster of related results Building on the knowledge they have acquired in earlier courses, such as A Finite-State Introduction to Computational Linguistics and Natural Language Processing Techniques, students will approach the research frontier step-by-step as a cooperative group. They will learn to critically analyze current research in the field, synthesize this material, and conduct their own investigations. Each participant will complete a final project that includes a literature review. In this way, the seminar will help prepare students to carry out thesis or dissertation research.
Topical Outline
The specific choice of topics will vary from year to year and may include: - incremental parsing in various grammar formalisms - semantic role labelling - vector space models of semantics - machine reading, question-answering, and successors to information extraction - machine translation and multilinguality All papers will be available electronically either via the UGA library or from the ACL Anthology https://www.aclweb.org/anthology/.
Syllabus