Zobrazeno 1 - 10
of 3 649
pro vyhledávání: '"natural language understanding"'
Autor:
Zhu, Meng, Xu, Xiaolong
Publikováno v:
Data Technologies and Applications, 2024, Vol. 58, Issue 4, pp. 590-607.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-03-2023-0088
Publikováno v:
Journal of Modern Science, Vol 57, Iss 3, Pp 371-387 (2024)
The project aims to develop an intelligent system that has the potential to significantly improve patient care by examining and supporting the emotional state of people with chronic diseases or undergoing rehabilitation. The system will use advanced
Externí odkaz:
https://doaj.org/article/f7191ab5d8f447d683b4b65c115d4f0a
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:
ETRI Journal, Vol 46, Iss 1, Pp 137-153 (2024)
This study introduces a new approach in Korean morphological analysis combining dictionary-based techniques with Transformer-based deep learning models. The key innovation is the use of a BERT-based reranking system, significantly enhancing the accur
Externí odkaz:
https://doaj.org/article/cbc3e98b1703412a8679ef5877ec41f1
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:
IEEE Access, Vol 12, Pp 124314-124329 (2024)
During the COVID-19 pandemic, the surge in online pet care services led to an increased demand for conversational AI systems specifically designed for the veterinary domain. However, traditional natural language understanding (NLU) tasks and datasets
Externí odkaz:
https://doaj.org/article/e01b8682b7534dc1b45cf12e98042a0b
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 1, Pp 205-216 (2024)
Aspect-based sentiment analysis aims to predict the sentiment polarity of a specific aspect in a sentence or document. Most of recent research uses attention mechanism to model the context. But there is a problem in that the context information needs
Externí odkaz:
https://doaj.org/article/f6d7cef60d964ceabe8b7fb5517e98b7
Autor:
Seth P. Benson, Iain J. Cruickshank
Publikováno v:
IEEE Access, Vol 12, Pp 31798-31807 (2024)
Media bias has been extensively studied by both social and computational sciences. However, current work still has a large reliance on human input and subjective assessment to label biases. This is especially true for cable news, which has a continue
Externí odkaz:
https://doaj.org/article/5a127fa5820a4aff900473d0438bfc33
Autor:
Amadeo Hernández, Rosa María Ortega-Mendoza, Esaú Villatoro-Tello, César Joel Camacho-Bello, Obed Pérez-Cortés
Publikováno v:
Mathematics, Vol 12, Iss 8, p 1136 (2024)
Human–robot interaction is becoming increasingly common to perform useful tasks in everyday life. From the human–machine communication perspective, achieving effective interaction in natural language is one challenge. To address it, natural langu
Externí odkaz:
https://doaj.org/article/45cb4b2f581b469888dab67952a9602e