Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/27263
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| Title: | Caption Generation from Keywords using Probabilistic Dual-LSTM Networks and Dynamic Programming |
| Authors: | Suvam, Dubey
Swarnendu, Ghosh
Sharod, Chowdhury
Nibaran, Das
Teresa, Gonçalves
Paulo, Quaresma |
| Keywords: | caption generation
LSTM
Bi-LSTM
Dynamic Programming
Natural Language Generation |
| Issue Date: | 2019 |
| Publisher: | Proceedings of the International Conference on Emerging Technologies for Sustainable Development, ICETSD 2019 |
| Citation: | Suvam Dubey, Swarnendu Ghosh, Sharod Roy Chowdhury, Nibaran Das, Teresa
Gonçalves, and Paulo Quaresma. Caption Generation from Keywords using Probabilistic
Dual-LSTM Networks and Dynamic Programming. In Proceedings of the International
Conference on Emerging Technologies for Sustainable Development, ICETSD 2019, 2019. |
| Abstract: | Generation of natural languages has always been a keystone in AI research. In many modern challenges virtual assistants or caption generation it is often required to generate natural language texts from a set of annotations in the absence of a proper schema or language model. In this work we have used
the principles of dynamic programming on probabilistic dual-LSTM Networks to generate sentences from a set of keywords.
Validation against human judges showed that the system is able to provide quite satisfactory description of images from a set of keywords. |
| URI: | https://www.researchgate.net/publication/331824513_Caption_Generation_from_Keywords_using_Probabilistic_Dual-LSTM_Networks_and_Dynamic_Programming
http://hdl.handle.net/10174/27263 |
| Type: | article |
| Appears in Collections: | INF - Artigos em Livros de Actas/Proceedings
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