Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning - Synthesis Lectures on Human Language Technologies - Mohammad Taher Pilehvar - Grāmatas - Springer International Publishing AG - 9783031010491 - 2020. gada 13. novembris
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Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning - Synthesis Lectures on Human Language Technologies


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Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). The book starts by explaining conventional word vector space models and word embeddings (e.g., Word2Vec and GloVe) and then moves to other types of embeddings, such as word sense, sentence and document, and graph embeddings.


157 pages, XVIII, 157 p.

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2020. gada 13. novembris
ISBN13 9783031010491
Izdevēji Springer International Publishing AG
Lapas 157
Izmēri 150 × 220 × 10 mm   ·   344 g
Valoda Angļu  

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