Zobrazeno 1 - 10
of 415
pro vyhledávání: '"NLU"'
Autor:
Tejennour Tizaoui, Ruomu Tan
Publikováno v:
Digital Chemical Engineering, Vol 13, Iss , Pp 100186- (2024)
The field of process automation possesses a substantial corpus of textual documentation that can be leveraged with Large Language Models (LLMs) and Natural Language Understanding (NLU) systems. Recent advancements in diverse LLMs, available in open s
Externí odkaz:
https://doaj.org/article/e182dad619b44c9ebe9c4949d86c8ebf
Publikováno v:
IEEE Access, Vol 12, Pp 178917-178927 (2024)
This study explores whether large language models (LLMs) can learn a person’s opinions from their speech and act based on that knowledge. It also proposes the potential for utilizing such trained models in survey research. Traditional survey resear
Externí odkaz:
https://doaj.org/article/7a7b731ceaa34c1f85eb35e00635e38b
Publikováno v:
IEEE Access, Vol 12, Pp 156572-156587 (2024)
Question Answering (QA) systems are increasingly essential in educational institutions, enhancing both learning and administrative processes by providing quick and accurate answers to user queries. However, existing systems often struggle with accura
Externí odkaz:
https://doaj.org/article/2a905c3e09b24c90b0dfa74541ad3b86
Publikováno v:
IEEE Access, Vol 12, Pp 135241-135264 (2024)
In the field of natural language processing (NLP), natural language understanding (NLU) plays a critical role in transforming human languages into machine-interpretable formats. This paper provides an overview of methodologies and resources that have
Externí odkaz:
https://doaj.org/article/51c8976ad5254a3697a16361a3e3b622
Publikováno v:
Jurnal Rekayasa Elektrika, Vol 19, Iss 4 (2023)
Chatbots are artificial intelligence software that can communicate with users to assist them in certain tasks or provide information. They can reduce the need for human interaction and make processes more efficient. However, when it comes to more spe
Externí odkaz:
https://doaj.org/article/5aa2ec35b9d74d5c996873e7456e7a7d
Autor:
Olusola Olabanjo, Ashiribo Wusu, Oseni Afisi, Mauton Asokere, Rebecca Padonu, Olufemi Olabanjo, Oluwafolake Ojo, Olusegun Folorunso, Benjamin Aribisala, Manuel Mazzara
Publikováno v:
Heliyon, Vol 9, Iss 5, Pp e16085- (2023)
Introduction: Social media platforms such as Facebook, LinkedIn, Twitter, among others have been used as tools for staging protests, opinion polls, campaign strategy, medium of agitation and a place of interest expression especially during elections.
Externí odkaz:
https://doaj.org/article/40dadd89954f4ba59650010874ad2e1c
Publikováno v:
Journal of Process Management and New Technologies, Vol 10, Iss 1-2, Pp 125-139 (2022)
Students can retrieve information from the website or use the services of an existing information system (provided the information system is on the internet). However, we know from experience that searching a website is time-consuming or even inaccur
Externí odkaz:
https://doaj.org/article/920f3290bdd04843942f6e13b99505b8
Publikováno v:
IEEE Access, Vol 10, Pp 107477-107487 (2022)
The Rasa open-source toolkit provides a valuable Natural Language Understanding (NLU) infrastructure to assist the development of conversational agents. In this paper, we show that this infrastructure can seamlessly and effectively be used for other
Externí odkaz:
https://doaj.org/article/8cff50fc84a64605b07a595943e63911
Publikováno v:
IEEE Access, Vol 10, Pp 17078-17097 (2022)
Learning human languages is a difficult task for a computer. However, Deep Learning (DL) techniques have enhanced performance significantly for almost all-natural language processing (NLP) tasks. Unfortunately, these models cannot be generalized for
Externí odkaz:
https://doaj.org/article/affad7fa6bba419ab521958cd942ebe0
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