Multi-class Text Complexity Evaluation via Deep Neural Networks

Autor: Giovanni Pilato, Alfredo Cuzzocrea, Daniele Schicchi, Giosuè Lo Bosco

Publikováno v: Intelligent Data Engineering and Automated Learning – IDEAL 2019 ISBN: 9783030336165
IDEAL (2)

Automatic Text Complexity Evaluation (ATE) is a natural language processing task which aims to assess texts difficulty taking into account many facets related to complexity. A large number of papers tackle the problem of ATE by means of machine learn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::563f14c244dc0ab93720cfbadbbf9950
https://doi.org/10.1007/978-3-030-33617-2_32

COVID-19 public health and social measures: a comprehensive picture of six Asian countries.

Autor: Foo C; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore ephfchu@nus.edu.sg., Verma M; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore., Tan SM; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore., Haldane V; University of Toronto Dalla Lana School of Public Health, Toronto, Ontario, Canada., Reyes KA; School of Public Health, Pamantasan ng Lungsod ng Maynila, Manila, Philippines.; Alliance for Improving Health Outcomes, Quezon, Philippines., Garcia F; College of Public Health, University of the Philippines, Manila, Philippines., Canila C; College of Public Health, University of the Philippines, Manila, Philippines., Orano J; Independent Researcher, Quezon, Philippines., Ballesteros AJ; Independent Researcher, Quezon, Philippines., Marthias T; Department of Public Health, Gadjah Mada University Faculty of Medicine Public Health and Nursing, Yogyakarta, Indonesia.; The University of Melbourne Nossal Institute for Global Health, Melbourne, Victoria, Australia., Mahendradhata Y; Department of Public Health, Gadjah Mada University Faculty of Medicine Public Health and Nursing, Yogyakarta, Indonesia., Tuangratananon T; International Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand., Rajatanavin N; International Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand., Poungkantha W; International Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand., Mai Oanh T; Health Strategy and Policy Institute, Ministry of Health, Hanoi, Viet Nam., The Due O; Health Strategy and Policy Institute, Ministry of Health, Hanoi, Viet Nam., Asgari-Jirhandeh N; Asia-Pacific Observatory on Health Systems and Policies, World Health Organization, New Delhi, India., Tangcharoensathien V; International Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand., Legido-Quigley H; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.

Publikováno v: BMJ global health [BMJ Glob Health] 2022 Nov; Vol. 7 (11).