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Embeddings in Natural Language Processing

- Theory and Advances in Vector Representations of Meaning

Om Embeddings in Natural Language Processing

Provides a high-level synthesis of the main embedding techniques in NLP, in the broad sense. 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.

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  • Språk:
  • Engelska
  • ISBN:
  • 9781636390239
  • Format:
  • Inbunden
  • Sidor:
  • 175
  • Utgiven:
  • 30 November 2020
  • Mått:
  • 245x199x18 mm.
  • Vikt:
  • 516 g.
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Leveranstid: 2-4 veckor
Förväntad leverans: 21 Oktober 2024

Beskrivning av Embeddings in Natural Language Processing

Provides a high-level synthesis of the main embedding techniques in NLP, in the broad sense. 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.

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