notes/science/nlp/wordembeddings.txt
Ihar Hancharenka 5dff80e88e first
2023-03-27 16:52:17 +03:00

23 строки
969 B
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2022
https://habr.com/ru/post/651283/
2021
https://towardsdatascience.com/why-you-should-always-use-feature-embeddings-with-structured-datasets-7f280b40e716
https://habr.com/ru/company/wunderfund/blog/590651/
https://habr.com/ru/company/yandex/blog/539960/
2020
https://habr.com/ru/post/509092/
https://habr.com/ru/post/486358/
2019
https://habr.com/ru/company/oleg-bunin/blog/455652/
https://towardsdatascience.com/machine-learning-sentiment-analysis-and-word-embeddings-python-keras-example-4dfb93c5a6cf
https://pair-code.github.io/interpretability/bert-tree/
https://www.infoq.com/presentations/nlp-word-embedding
2018
https://habr.com/company/singularis/blog/358664/
L9 - Embeddings and data representation
https://www.youtube.com/watch?v=ufkDhrngcr0
https://blog.acolyer.org/2018/02/22/dynamic-word-embeddings-for-evolving-semantic-discovery/
2017
https://habr.com/company/ods/blog/329410/
https://machinelearningmastery.com/what-are-word-embeddings/