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Use of Open Access AI in teaching classical antiquity. A methodological proposal.

• Authors : Díaz-Sánchez, Carlos¹ ; Chapinal-Heras, Diego²

• Source: Journal of Classics Teaching. Spring2024, Vol. 25 Issue 49, p17-21. 5p.

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Forecasting Approaches in a Higher Education Setting

• Authors : Bousnguar, Hassan (ORCID 0000-0001-8106-955X); Najdi, Lotfi; Battou, Amal

Subjects: Higher Education; Undergraduate Students; Enrollment Management

• Source: Education and Information Technologies. Mar 2022 27(2):1993-2011.19

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ترجمة مصطلحات الأدب الرقمي وأدب الذكاء الاصطناعي: دراسة تحليلية.

• Authors : عادل خم ي س الزهر¹

Subjects: *ARTIFICIAL intelligence; *TERMS & phrases; *LITERATURE

• Source: Journal of Linguistic & Literary Studies. Dec2023, Vol. 14 Issue 2, p5-20. 16p.

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SCREENER: Streamlined collaborative learning of NER and RE model for discovering gene-disease relations.

• Authors : Park, Minjun¹ (AUTHOR); Jeong, Chan Ung¹ (AUTHOR); Baik, Young Sang² (AUTHOR)

Subjects: *COLLABORATIVE learning; *ARTIFICIAL intelligence; *WEB services

• Source: PLoS ONE. 11/27/2023, Vol. 18 Issue 11, p1-14. 14p.

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Semi-supervised morphosyntactic classification of Old Icelandic.

• Authors : Urban K; The Scandinavian Section, University of California Los Angeles, Los Angeles, California, United States of America.; Tangherlini TR

Subjects: Internet* ; Software*; Language/Language/Language/*history

• Source: PloS one [PLoS One] 2014 Jul 16; Vol. 9 (7), pp. e102366. Date of Electronic Publication: 2014 Jul 16 (Print Publication: 2014).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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LA INTELIGENCIA ARTIFICIAL, ¿UNA NUEVA ERA PARA LA LITERATURA?

• Authors : Vergara-Aguirre, Andrés¹

• Source: Estudios de Literatura Colombiana. jul-dec2023, Issue 53, p11-20. 10p.

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Using typed dependencies to study and recognise conceptualisation zones in biomedical literature.

• Authors : Groza T; School of Information, Telecommunications, and Electronics Engineering, The University of Queensland, Queensland, Australia.

Subjects: Biomedical Research* ; Literature*; Artificial Intelligence

• Source: PloS one [PLoS One] 2013 Nov 18; Vol. 8 (11), pp. e79570. Date of Electronic Publication: 2013 Nov 18 (Print Publication: 2013).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Combining Machine Learning and Natural Language Processing to Assess Literary Text Comprehension

• Authors : Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S.

Subjects: Artificial Intelligence; Natural Language Processing; Reading Comprehension

• Source: International Educational Data Mining Society. 2017.6

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Combining Machine Learning and Natural Language Processing to Assess Literary Text Comprehension

• Authors : Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S.

Subjects: Artificial Intelligence; Natural Language Processing; Reading Comprehension

• Source: Grantee Submission. 2017Paper presented at the International Conference on Educational Data Mining (10th, 2017).7

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What AI researchers read: the role of literature in artificial intelligence research.

• Authors : Dillon, Sarah¹ (AUTHOR) ; Schaffer-Goddard, Jennifer¹ (AUTHOR)

• Source: Interdisciplinary Science Reviews. Mar2023, Vol. 48 Issue 1, p15-42. 28p. 2 Graphs.

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