Zobrazeno 1 - 10
of 4 070
pro vyhledávání: '"Natural Language Processing(NLP)"'
Publikováno v:
Известия Иркутского государственного университета: Серия "Математика", Vol 50, Iss 1, Pp 125-142 (2024)
The significance of the research outlined here lies in the challenge of selecting partner companies under tight timeframes and with limited access to comprehensive data, particularly concerning a wide range of ethics and sustainability issues. This s
Externí odkaz:
https://doaj.org/article/5fc2bc129a184fb98ee74405fee825ce
Autor:
Guillaume Zambrano
Publikováno v:
Law, Technology and Humans, Vol 6, Iss 3, Pp 80-101 (2024)
This study explores the effectiveness of prompt optimization techniques for legal case outcome extraction using Large Language Models (LLMs). Two state-of-the-art LLMs, LLaMA3 70b and Mixtral 8x7b, are used in a zero-shot data extraction task on a di
Externí odkaz:
https://doaj.org/article/627dd3a9dca240ad840c2c531acd056e
Autor:
Andrii Akymenko, Alaa Salim Abdalrazzaq, Noor Kadhim Meftin, Doaa Mohammed Hussein Al Fawadi, Hanaa Hameed Merzah, Omar Baban, Moamin Ibrahim Jameel Al-Obaidi
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 692-701 (2024)
Background: Robotic assistants have progressed from essential, repetitive duties to sophisticated interactions requiring cognitive talents as technology advances. The interaction of Natural Language Processing (NLP) with Artificial Intelligence (AI)
Externí odkaz:
https://doaj.org/article/d4710b0c7f0a4fad846f04de336d1f87
Autor:
Alon Friedman, Zachariah Beasley
Publikováno v:
Journal of Statistics and Data Science Education, Pp 1-11 (2024)
This study investigates the relationship between student engagement and peer review performance in an online data science course. Employing a mixed-methods approach, we analyzed quantitative data on peer review metrics (word count, sentiment, and com
Externí odkaz:
https://doaj.org/article/1b8f717737354e779752ae6333624148
Publikováno v:
Journal of Informatics and Web Engineering, Vol 3, Iss 3, Pp 41-62 (2024)
This research work develops a new framework that combines patient feedback with evidence-based best practices across disease states to improve drug recommendations. It employs BERT as its free-text processing engine to deal with sentiment judgment an
Externí odkaz:
https://doaj.org/article/de3943b66bfd44ba86015d200ee87f64
Autor:
Giada Marino, Fabio Giglietto
Publikováno v:
Sociologica, Vol 18, Iss 2, Pp 87-107 (2024)
The integration of Large Language Models (LLMs) into research workflows has the potential to transform the study of political content on social media. This essay discusses a validation protocol addressing three key aspects of LLM-integrated research:
Externí odkaz:
https://doaj.org/article/8f540c7b57f74489992fdae3f9f163a8
Autor:
Steven A. Hamilton, Andrew P. Ambrosy, Rishi V. Parikh, Thida C. Tan, Jesse K. Fitzpatrick, Harshith R. Avula, Alexander T. Sandhu, Ivy A. Ku, Alan S. Go, Dana Sax, Ankeet S. Bhatt
Publikováno v:
ESC Heart Failure, Vol 11, Iss 5, Pp 2542-2545 (2024)
Abstract Aims Worsening heart failure (WHF) events occurring in non‐inpatient settings are becoming increasingly recognized, with implications for prognostication. We evaluate the performance of a natural language processing (NLP)‐based approach
Externí odkaz:
https://doaj.org/article/6784567eceb64c488961e86d26734b23