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This is just an informal pre-release (dated Jan 5, 2024) of our 2024 release. The final draft of the 2024 release won't come til probably February, with more details.
Individual chapters are below;
here is a single pdf of all the chapters in the Jan 5, 2024 pre-relase draft of the book so far!
As always, typos and comments very welcome: please email slp3edbugs@gmail.com
When will the whole book be finished? Don't ask.
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| Part I: Fundamental Algorithms |
| 1: | Introduction |
| 2: |
Regular Expressions, Text Normalization, Edit Distance |
| 3: |
N-gram Language Models |
| 4: |
Naive Bayes, Text Classification, and Sentiment |
| 5: |
Logistic Regression |
| 6: |
Vector Semantics and Embeddings |
| 7: |
Neural Networks and Neural Language Models
| | 8: |
Sequence Labeling for Parts of Speech and Named Entities |
| 9: |
RNNs and LSTMs |
| 10: |
Transformers and Large Language Models |
| 11: | Fine-tuning and Masked Language Models |
| 12: |
Prompting, In-Context Learning, and Instruct Tuning |
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| Part II: NLP Applications |
| 13: | Machine Translation |
| 14: | Question Answering and Information Retrieval |
| 15: | Chatbots and Dialogue Systems |
| 16: | Automatic Speech Recognition and Text-to-Speech |
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| Part III: Annotating Linguistic Structure |
| 17: | Context-Free Grammars and Constituency Parsing |
| 18: | Dependency Parsing |
| 19: | Information Extraction: Relations, Events, and Time |
| 20: | Semantic Role Labeling and Argument Structure |
| 21: | Lexicons for Sentiment, Affect, and Connotation |
| 22: | Coreference Resolution |
| 23: | Discourse Coherence |
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| Appendix Chapters (will be just on the web) |
| A: | Hidden Markov Models |
| B: | Spelling Correction and the Noisy Channel |
| C: | Statistical Constituency Parsing |
| D: | Context-Free Grammars |
| E: | Combinatory Categorial Grammar |
| F: | Logical Representations of Sentence Meaning |
| G: | Word Senses and WordNet |
| H: | Phonetics |
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