Final exam 2020. Submit via Gradescope.
Date | Topic | Instructor |
Tu Sep 1 | Introduction | Koehn |
Text | ||
Th Sep 3 | Words and Language Models | Yarowsky |
Tu Sep 8 | Morphology | Yarowsky |
Th Sep 10 | Syntax | Post |
Tu Sep 15 | Semantics | Post |
Th Sep 17 | Deep learning I | Watanabe |
Tu Sep 22 | Deep learning II | Watanabe |
Th Sep 24 | Distributional Semantics | Koehn |
Tu Sep 29 | Information Retrieval | Duh |
Th Oct 1 | Machine Translation | Duh |
Tu Oct 6 | Information Extraction | Koehn |
Th Oct 8 | First Midterm Exam | - |
Speech | ||
Tu Oct 13 | Auditory system | Elhilali |
Th Oct 15 | Speech basics | Hermansky |
Tu Oct 20 | Classic speech recognition1 (additional slides) | Khudanpur |
Tu Oct 27 | Signal processing (Chapter 6) | Khudanpur |
Th Oct 29 | Speaker recognition | Dehak |
Tu Nov 3 | Hands on: Kaldi | Khudanpur |
Th Nov 5 | End-to-end neural speech recognition | Watanabe |
Tu Nov 10 | Second Midterm Exam (2019 midterm) | - |
Applications | ||
Th Nov 12 | Dialog Systems | Sedoc |
Tu Nov 17 | Question Answering | Duh |
Th Nov 19 | NLP for Digital Humanities | Lippincott |
Tu Dec 1 | Clinical NLP | Dredze |
Th Dec 3 | Ethical Problems | Moro-Velazquez |
Tu Dec 9 | Review session | Koehn |