Embeddings in Natural Language Processing

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Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the development of NLP. Embedding techniques initially focused on words, but the attention soon started to shift to other forms:...
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Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the development of NLP. Embedding techniques initially focused on words, but the attention soon started to shift to other forms:...
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  • Formats: pdf
  • ISBN: 9783031021770
  • Publication Date: 31 May 2022
  • Publisher: Springer International Publishing
  • Product language: English
  • Drm Setting: DRM