Text Production with Deep Learning Approaches in Natural Language Processing

M. Sharmila Devi, V. Lakshmi Chaitanya, V. Samatha, V. Naga Lavanya, V. Srividya, M. Rehana

2025

Abstract

The majority of NLP applications revolve around text generation. It can be used, for instance, to generate dialogue turns from dialogue moves, to express the content of knowledge bases, or to generate natural English sentences from complex linguistic representations such as Abstract Meaning Representations or dependency trees in data-driven systems. It uses Recurrent Neural Networks (RNNs), namely LSTMs and GRUs, for long-range dependency capture and sequential data processing, enabling applications like text summarization and machine translation. Examples of transformer models that demonstrate their many uses, from question answering to code creation and creative writing, are GPT and BERT. Furthermore, additional relevant deep learning techniques like hybrid models and convolutional neural networks (CNNs) are briefly discussed.

Paper Citation

in Harvard Style

Devi M., Chaitanya V., Samatha V., Lavanya V., Srividya V. and Rehana M. (2025). Text Production with Deep Learning Approaches in Natural Language Processing. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 55-62. DOI: 10.5220/0013891400004919

in Bibtex Style

@conference{icrdicct`2525,
author={M. Devi and V. Chaitanya and V. Samatha and V. Lavanya and V. Srividya and M. Rehana},
title={Text Production with Deep Learning Approaches in Natural Language Processing},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={55-62},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013891400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Text Production with Deep Learning Approaches in Natural Language Processing
SN - 978-989-758-777-1
AU - Devi M.
AU - Chaitanya V.
AU - Samatha V.
AU - Lavanya V.
AU - Srividya V.
AU - Rehana M.
PY - 2025
SP - 55
EP - 62
DO - 10.5220/0013891400004919
PB - SciTePress