Challenges in natural language processing and natural language understanding by considering both technical and natural domains

Challenges in natural language processing and natural language understanding by considering both technical and natural domains

연구 분야: Artificial Intelligence

학회: 2023 6th International Conference on Pattern Recognition and Image Analysis (IPRIA)

As deep learning became more sophisticated, it significantly increased the use of AI in industry, academia, and other sectors. NLP is a part of the deep learning paradigm that offers different types of systems mainly related to human language understanding, meaning, and interpretations. Nowadays, NLP is used in several applications, including sentiment analysis, categorization of texts, translation, etc. Due to this new usage, new challenges occurred. This paper discusses the challenges of developing or creating an NLP model and the problems that will be occurred in NLU. Moreover, the paper illustrates issues in both technical and natural domains that should be considered upon deployment or creation of NLP models or NLU systems.