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|Title: ||Caption Generation from Keywords using Probabilistic Dual-LSTM Networks and Dynamic Programming|
|Authors: ||Suvam, Dubey|
|Keywords: ||caption generation|
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.|
|Appears in Collections:||INF - Artigos em Livros de Actas/Proceedings|
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