Product Copy Generation for Fashion Footwear Data
DOI:
https://doi.org/10.17010/ijcs/2021/v6/i5/166513Keywords:
Bi-Directional and Autoregressive Transformer (BART)
, Convolutional Neural Network (CNN), Generative Pre-Trained (GPT), Long Short Term Memory (LSTM), Natural Language Generation (NLG), Product Copy Generation (PCG), Recurrent Neural Network (RNN).Manuscript Received
, August 10, 2021, Revised, September 3, Accepted, September 8, 2021. Date of Publication, October 5, 2021.Abstract
Natural Language Generation is a specialized field of Artificial Intelligence (AI) that deals with generation of text, given a set of inputs, like text, image or both. It is also deals with training of a given algorithm or machine to learn about a particular information and build relevant set of information about it in the form of natural language or text, given an input, while validating the same. This technology has stirred up a storm in the field of AI and has a great impact on automation science.Downloads
References
S. Dathathri, A. Madotto, J. Lan, J. Hung, E. Frank, P. Molino, J. Yosinski, and R. Liu, “Plug and play language models: A simple approach to controlled text generation,†2019. [Online]. Available: https://arxiv.org/abs/1912.02164
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W. Yih, T. Rocktäschel, S.Riedel, and D. Kiela, “Retrieval-augmented generation for knowledge-intensive NLP tasks,†2020. [Online]. Available: https://arxiv.org/abs/2005.11401
T. Wolf, L. Debut, V. Sanh, J. Chaumond, C. Delangue, A. Moi, and P. Cistac et al., “HuggingFace's Transformers : State-of-the-art Natural Language Processing,†2019. [Online]. Available: https://arxiv.org/abs/1910.03771
M. Lewis, Y. Liu, N. Goyal, M. Ghazvininejad, A. Mohamed, O.Levy, V. Stoyanov, and L. Zettlemoyer, “BART: Denoising sequence-to-sequence pre-training for Natural Language Generation, translation, and comprehension,†in Proc. of the 58th Annual Meeting of the Assoc. for Computational Linguistics, July 5-10, 2020, pp. 7871-7880. [Online]. Available: https://aclanthology.org/2020.acl-main.703.pdf
P. Gujjar J. and N. Kumar V., “Google Colaboratory: Tool for Deep Learning and Machine Learning Applications,†2021. [Online]. Available: http://www.indianjournalofcomputerscience.com/index.php/tcsj/article/view/165408