In natural language understanding, there is a hierarchy of lenses through which we can extract meaning - from words to sentences to paragraphs to documents. At the document level, one of the most useful ways to understand text is by analyzing its topics.
I made an introductory talk on word embeddings in the past and this write-up is an extended version of the part about philosophical ideas behind word vectors.
D. Wangsadirdja, J. Pfister, K. Kobs, и A. Hotho. Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), стр. 1090--1095. Toronto, Canada, Association for Computational Linguistics, (июля 2023)