- |
-
Challenges in natural language processing and natural language understanding by considering both technical and natural domains
Poster Presentation
Authors
Dept. Computer Engineering Faculty of Engineering, College of Farabi, University of Tehran, Iran
Abstract
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.
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.
Keywords
NLP (Natural Language Processing); ethics and biases; NLP Model; natural problems of HL; word representations; technical problems of NLP models; NLU (Natural Language Understanding); ambiguity problem; NLU systems
Proceeding Title [Persian]
Challenges in natural language processing and natural language understanding by considering both technical and natural domains
Authors [Persian]
Abstract [Persian]
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.
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.
Keywords [Persian]
NLP (Natural Language Processing)، ethics and biases، NLP Model، natural problems of HL، word representations، technical problems of NLP models، NLU (Natural Language Understanding)، ambiguity problem، NLU systems