Visual Exploration of Neural Document Embedding in Information Retrieval : Semantics and Feature Selection
Neural embeddings are widely used in language modeling and feature generation with superior computational power. Particularly, neural document embedding - converting texts of variable-length to semantic vector representations - has shown to benefit widespread downstream applications, e.g., informati...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 25(2019), 6 vom: 18. Juni, Seite 2181-2192
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| 1. Verfasser: |
Ji, Xiaonan
(VerfasserIn) |
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| Weitere Verfasser: |
Shen, Han-Wei,
Ritter, Alan,
Machiraju, Raghu,
Yen, Po-Yin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, U.S. Gov't, P.H.S. |
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