Course Overview
Provides a fundamental understanding of the problems in natural language understanding by computers, and the theory and practice of current computational linguistic systems. Of interest to students of artificial intelligence, algorithms, and the computational processes of comprehension and understanding.
- Time:
- Tues, Thurs 5:10–6:30 pm.
- Location:
- Volen 106
- Textbooks:
-
- Foundations of Statistical Natural Language Processing, by Chris Manning and Hinrich Schütze
- Natural Language Processing with Python by Steven Bird, Eewan Klein, and Edward Loper
Professor
- Ben Wellner
- ⟨wellner@cs.brandeis.edu⟩
- Office Hours:
- Tues 16:00–17:00 and Thur 16:00–17:00
Teaching Assistant
- Chen Lin; Yaqin Yang
- ⟨clin@brandeis.edu⟩
⟨yaqin@brandeis.edu⟩
- Office:
- Volen 110
- Office Hours:
- Thur 15:00–17:00 for Chen
- Tues 15:00–17:00 for Yaqin
Lectures
- Lecture 1: Course Overview
- Lecture 2: Probability, machine learning, stat. inference overview
- Lecture 3: Text Classification, Naive Bayes
- Lecture 4: Maximum Entropy
Resources
- Chen Lin; Yaqin Yang
- ⟨clin@brandeis.edu⟩ ⟨yaqin@brandeis.edu⟩
- Office:
- Volen 110
- Office Hours:
- Thur 15:00–17:00 for Chen
- Tues 15:00–17:00 for Yaqin
Lectures
- Lecture 1: Course Overview
- Lecture 2: Probability, machine learning, stat. inference overview
- Lecture 3: Text Classification, Naive Bayes
- Lecture 4: Maximum Entropy