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Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning - Synthesis Lectures on Human Language Technologies Mohammad Taher Pilehvar
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Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning - Synthesis Lectures on Human Language Technologies
Mohammad Taher Pilehvar
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.
175 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 30, 2020 |
| ISBN13 | 9781636390215 |
| Publishers | Morgan & Claypool Publishers |
| Pages | 175 |
| Dimensions | 235 × 190 × 16 mm · 342 g |
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