Part I - EMBEDDINGS

DATE	TOPIC	MATERIALS
29/9 -	- Distributional Semantics & Word-Space models. - Word, Sentence and Document embeddings. - Distributional approaches to sentence/text semantics. - Transfer Learning	- [FT] - Chapter 4 - [SLP3] - Chapter 5 - Slides (I.7) - Paper [Lenci, 2008] - Papers [Mikolov et al. 2013; Le, Mikolov 2014] - Chap. 1, 2 and 4 from [Liu, 2020]

REFERENCES

[FT]
Tamburini, F. (2026). Neural Models for the Automatic Processing of Italian, 2nd Edition, Bologna: Pàtron. Link.

[SLP3]
D. Jurafsky and J.H. Martin (in press). Speech and Language Processing, Prentice Hall. (3rd edition DRAFT, Aug26 version)