| Date | Topic | Slides | Slides (Flat) | Readings | 
|---|---|---|---|---|
| Tue, 01/07 | Introduction | SLP2: Chapter 1 | ||
| Quiz, Solution | ||||
| Thu, 01/09 | Regular Expressions | 
                            SLP3: Chapter 2.1
                             Notre Dame CSE 30151 Unit 1  | 
                    ||
| Probability, Basic Information Theory | TTIC 31230 Lectures 1 & 8 | |||
| Tue, 01/14 | Statistical Methods | |||
| Thu, 01/16 | Word, Tokenization | 
                            SLP3: Chapters 2.2-2.8
                             Kudo (2018): will be clearer with knowledge in language modeling Li (2024)  | 
                    ||
| Tue, 01/21 | Edit Distance, Distributional Lexical Semantics | 
                            SLP3: Chapter 6
                             Levy and Goldberg (2014)  | 
                    ||
| Wed, 01/22 | Assignment 1 Released | 
                            PDF
                             process_childes.py test_process_childes.py  | 
                        ||
| Thu, 01/23 | Datasets | Gema et al. (2024) | ||
| Tue, 01/28 | Text Classifiers | 
                            
                                PRML: Chapters 4 and 7.1
                            
                             Peng et al. (2021) : kernel trick in the LLM era  | 
                    ||
| Thu, 01/30 | Neural Networks: optimization, MLP, CNN, RNN, Transformers | 
                            A summary of
                                optimizers
                             Chris Olah's blog on LSTMs Socher et al. (2011) Kim (2014)  | 
                    ||
| Tue, 02/04 | Neural Networks (cont.) | |||
| Thu, 02/06 | Language Modeling | 
                            SLP 3: Chapter 3
                             TTIC 31230 Lecture 5  | 
                    ||
| Tue, 02/11 | Language Modeling (cont.) | |||
| Wed, 02/12 | Assignment 1 Due | |||
| Thu, 02/13 | Campus Closed: No Class | |||
| Tue, 02/18 | Reading Week, No Class | |||
| Thu, 02/20 | Reading Week, No Class | |||
| Tue, 02/25 | Masked Language Models & Sequence Labeling | 
                            Devlin et al., 2019  SLP 3: Chapter 17.4  | 
                    ||
| Thu, 02/27 | Sequence Labeling: Conditional Random Fields | SLP 3: Chapter 23 | ||
| Fri, 02/28 | 1-Page Project Midterm Checkin Due | |||
| Tue, 03/04 | Syntax: Constituency Parsing | 
                            SLP 3: Chapter 18
                             SLP 3: Appendix D Hale, 2003  | 
                    ||
| Wed, 03/05 | Assignment 2 Released | |||
| Thu, 03/06 | Syntax: Dependency Parsing | 
                            SLP 3: Chapter 19
                             Eisner's Algorithm  | 
                    ||
| Tue, 03/11 | Semantics: Compositionality, Semantic Role Labeling, Lambda Calculus | SLP 3: Chapter 21 | ||
| Thu, 03/13 | Grounded Semantics | Shi (2024): Chapter 2.2
                             Mollo and Millière (2023)  | 
                    ||
| Tue, 03/18 | Pragmatics: Phenomena, Rational Speech Act Model, Pragmatics in Modern LMs | 
                             Frank &
                                Goodman
                                (2012)
                             Wang et al. (2016)  | 
                    ||
| Thu, 03/20 | Linguistic Typology and Cross-Lingual NLP | 
                            Ponti et al. (2019)
                             The World Atlas Database  | 
                    ||
| Tue, 03/25 | Language Models as Human Cognitive Models | 
                            McCoy et al. (2024)
                             Hu et al. (2024) Lasnik and Lidz (2016)  | 
                    ||
| Wed, 03/26 | Assignment 2 Due Project Due, Peer Review Starts  | 
                        |||
| Thu, 03/27 | How Training Language Models Benefits Linguistic Theories | Misra and Mahowald (2024), Annotated | 
                            Kuribayashi et al. (2024)  Misra and Mahowald (2024)  | 
                    |
| Tue, 04/01 | Course Review | Final Practice | Final Practice Solution | |
| Thu, 04/03 | Extended Office Hour | |||
| Mon, 04/14 | Project Peer Review Due |