| Title: | Natural Language Generation |
| Authors: | Sido, Jakub |
| Issue Date: | 2020 |
| Publisher: | University of West Bohemia |
| Document type: | zpráva report |
| URI: | http://hdl.handle.net/11025/43167 https://www.kiv.zcu.cz/cz/vyzkum/publikace/technicke-zpravy/ |
| Keywords: | přirozený jazyk;generativní modely;textová doména;umělé neuronové sítě |
| Keywords in different language: | natural language;generative models;text domain;artificial neural networks |
| Abstract in different language: | Computational systems use natural language for communication with humans moreoften in the last years. This work summarises state-of-the-art approaches in thefield of generative models, especially in the text domain. It offers a complex study ofspecific problems known from this domain and related ones like adversarial training,reinforcement learning, artificial neural networks, etc. It also addresses the usageof these models in the context of non-generative approaches and the possibility ofcombining both. |
| Rights: | © 2020 University of West Bohemia |
| Appears in Collections: | Zprávy / Reports (KIV) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Rigo_Sido_2020_05.pdf | Plný text | 5,63 MB | Adobe PDF | View/Open |
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