Results 161 to 170 of about 6,494,144 (323)

AI‐Powered Virtual Patients in Health Professions Education: Learner Engagement and Knowledge Application

open access: yesJournal of Dental Education, EarlyView.
ABSTRACT Purpose/Objectives Immersive educational technologies, including applications of artificial intelligence in education (AIED), are increasingly used to develop clinical skills in health professions education. This study evaluated the feasibility and perceived value of integrating an artificial intelligence (AI)‐enabled virtual patient platform ...
Jeffrey J. Borckardt   +6 more
wiley   +1 more source

The Computational Study of Old English

open access: yesEncyclopedia
This entry presents a comprehensive overview of the computational study of Old English that surveys the evolution from early digital corpora to recent artificial intelligence applications.
Javier Martín Arista
doaj   +1 more source

Preface [Elektronisk resurs] : computational linguistics workshop

open access: yes
This document is the preface of the Computational Linguistics Workshop of the 8th International Conference on Computational Linguistics and Intelligent Systems (CoLInS 2024), April 12–13, 2024, held in Lviv, Ukraine.
Vysotska, Victoria,, Khairova, Nina,
core  

AttSum : joint learning of focusing and summarization with neural attention [PDF]

open access: yes
26th International Conference on Computational Linguistics, December 11-16, 2016, Osaka, Japan202402 bcchVersion of RecordRGCOthersNational Natural Science Foundation of China; The Hong Kong Polytechnic UniversityPublishedCopyright retained by ...
Wei, F, Li, Y, Li, W, Cao, Z, Li, S
core  

Towards Finding and Fixing Fragments–-Using ML to Identify Non-Sentential Utterances and their Antecedents in Multi-Party Dialogue [PDF]

open access: yes, 2005
Schlangen D. Towards Finding and Fixing Fragments–-Using ML to Identify Non-Sentential Utterances and their Antecedents in Multi-Party Dialogue. In: Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL05).
Schlangen, David ; https://orcid.org/
core  

Technology‐Driven Transformation of Compensation Systems: Mapping the Causal Structure of Digital Reward Systems

open access: yesStrategic Change, EarlyView.
ABSTRACT Traditional reward systems, which are largely salary‐centered and structurally rigid, are no longer sufficient in an era defined by digital transformation. Building on this premise, this study examines how emerging technologies reshape integrated compensation systems by uncovering their causal, mediating, and outcome‐oriented roles.
Seyed Hossein Razavi Hajiagha   +5 more
wiley   +1 more source

Sentiment in TV Documentaries: An Interdisciplinary Approach

open access: yesStyles of Communication, 2019
Documentaries play an important role in providing knowledge about historical and scientific topics to non-expert audiences. They continue to be widely popular despite the upcoming of manifold new forms of journalism in the digital age.
Sylvia Jaki, Tom De Smedt
doaj  

Translation Challenges of the Qur'an and Opportunities of integrating AI Automation

open access: yesQiST
Despite the growing number of English translations of the Qur'an, persistent linguistic, semantic, rhetorical, and theological challenges continue to limit accurate comprehension for non-Arabic readers.
Said Soulhi
doaj   +1 more source

Content-based influence modeling for opinion behavior prediction [PDF]

open access: yes
26th International Conference on Computational Linguistics, December 11-16, 2016, Osaka, Japan202402 bcchVersion of RecordRGCOthersNational Natural Science Foundation of China; The Hong Kong Polytechnic UniversityPublishedCopyright retained by ...
Wang, Z, Li, W, Chen, C, Lei, Y
core  

Jointly learning semantic parser and natural language generator via dual information maximization [PDF]

open access: yes
57th Annual Meeting of the Association for Computational Linguistics (ACL), July 28-August 2, 2019, Florence, Italy202402 bcchVersion of RecordRGCOthersNational Natural Science Foundation of ...
Wang, L, Li, W, Ye, H
core   +1 more source

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