An Outlook on Natural Language Generation
Anabela Marques Barreiro, Elena Lloret, Oleksii Turuta · Annals of Computer Science and Information Systems · 2023
This article presents an outlook on the present state of Natural Language Generation, discusses its impact and research challenges in light of recent progress in the development of Large Language Models.We foresee adverse results and repercussions arising from the use of models like ChatGPT if they are applied inappropriately in the absence of adequate legal guidelines to regulate their usage.Our aim is to highlight the importance of safeguarding human rights and provide recommendations for addressing the most pressing issues to ensure the long-term viability and security of this technology.In the context of the Multi3Generation COST Action (CA18231), we suggest strategies to address intricate challenges and showcase ongoing projects in strategically important European regions: (1) the longestablished Iberian Peninsula, home to two of the world's most widely spoken languages, along with several minority languages, and (2) Ukraine, which is actively pursuing its right to selfdetermination, autonomy, and the preservation of its cultural and linguistic identity.We aim at developing and strengthening a common strategy for newer models that can work alongside or in conjunction with existing ones.The main difference we wish to make in research is to focus on the science of language, further exploring linguistic resources and using their fine-grain quality to create new systems and enhance existing ones in a trusting atmosphere between developers and users, and a safe and innovation-friendly environment for society at large.1 https://multi3generation.eu/