Embeddings In Natural Language Processing Theory And Advances In Vector Represen - Mohammad Taher Pilehvar
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Embeddings In Natural Language Processing Theory And Advances In Vector Represen - Mohammad Taher Pilehvar
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: From Graph Structures, Such As Knowledge Bases, To Other Types Of Textual Content, Such As Sentences And Documents.
- 品牌: Unbranded
- 类别: 参考
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语言: English
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作者: Mohammad Taher Pileh
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出版日期: 2020-11-13
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页数: 176
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出版社／标签: Springer Nature B.V
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格式: Paperback
- Fruugo ID: 469769560-983724484
- ISBN: 9783031010491
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