PRACTICAL WORK 14. Summarization.pdf
PRACTICAL WORK 13. Information retrieval.pdf
PRACTICAL WORK 12. Information extraction.pdf
PRACTICAL WORK 11. first order logic.pdf
PRACTICAL WORK 10 domain model.pdf
PRACT WORK 9. Neural language model.pdf
PRACT WORK 8. Neural networks basics..pdf
PRACT WORK 7. Word2vec. Semantic properties of emb
PRACT WORK 6-2. PMI association model.pdf
PRACT WORK 6-1. TF-IDF vector model.pdf
PRACT WORK 5. Word and vectors, cosine measure sim
PRACT WORK 4. Lexical semantics.pdf
PRACT WORK 3-1 Log Reg-sigmoid.pdf
PRACT WORK 1-2 data smoothing.pdf
PRACT WORK 1-1 N-gram model.pdf
IWS 13 Information retrieval.pdf
programma itog ekz po Ponimanie est az 2021 ves se
Lesson 15 Dialog systems and chatbots.pdf
LESSON 13. Information retrieval models and method
Lesson 12 Information extraction.pdf
Lesson 10 -11 Logical models of sentence meaning.p
Lesson 8-9 Neural language models.pdf
Lesson 4-7 Vector semantics and Embeddings.pdf
КАРТА УЧЕБНО-МЕТОД ОБЕСП- ПОНИМАНИЕ ЕСТВ ЯЗЫКА-202
СИЛЛ ПОНИМАНИЕ ЕСТ ЯЗ 2020-2021 ВЕС СЕМ.pdf
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