NOTE This needs to be double-checked, and will be shortly. Though it will also change during the semester. It needs to be updated.
This is the current view of how the semester will proceed, but the schedule will be adjusted from time to time. Do not rely on a printed or saved copy; the truth is here: https://bucomplx.github.io/lx394s21/schedule/.
In the readings column, “Chapters:sections” refer to the NLTK book.
| Date | Topic | Reading | Homework | |
|---|---|---|---|---|
| T 1/26 | Hello world (tools, online resources, course structure). | 1:1-3,5; 2:2-3 | — | |
| R 1/28 | Python basics/tools | More advanced tools notes | 1:4; 4:all | |
| T 2/2 | Characterizing text | 5:all, 3:2-3 | Haiku (due Wed Feb 10) | |
| R 2/4 | Python basics | Retrieving texts | 3:1 | |
| T 2/9 | Classification, training, sentiment analysis | 6:all | — | |
| R 2/11 | Python basics | PyTorch intro | TBA | |
| R 2/18 | Python basics | Normalizing texts | 3:3-9 | |
| T 2/23 | Text generation, pronunciation | 6:all | — | |
| R 2/25 | Python basics | WordNet | TBA | |
| T 3/2 | Representing syntax | 2:4-5 | — | |
| R 3/4 | Python basics | Parsers | TBA | |
| T 3/9 | Analyzing semantics | 8:1-3; 9:1,3 | Sentiment analysis | |
| R 3/11 | Python basics | Semantic models | (8:4-6) | |
| T 3/16 | Representing semantics | 10:all | ||
| T 3/23 | Human/computer interaction | TBA | — | |
| R 3/25 | Python basics | Matplotlib | TBA | |
| T 3/30 | Corpus analysis and construction, CHILDES | TBA | – | |
| R 3/32 | 11:all | |||
| T 4/4 | Machine learning | TBA | – | |
| R 4/8 | TBA | |||
| T 4/13 | Statistics and plotting | Data presentation | SHRDLU | |
| R 4/15 | TBA | |||
| T 4/20 | Grad project presentations 1 | — | Project paper | |
| R 4/22 | Information extraction | 7:all | ||
| T 4/27 | Grad project presentations 2 | — | ||
| R 4/29 | Semester wrap-up | — | ||