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Deceptive Opinions Detection Using New Proposed Arabic Semantic Features
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In: ISSN: 1877-0509 ; EISSN: 1877-0509 ; Procedia Computer Science ; https://hal.archives-ouvertes.fr/hal-03299022 ; Procedia Computer Science, Elsevier, 2021, 189, pp.29 - 36. ⟨10.1016/j.procs.2021.05.067⟩ (2021)
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The use of extracts in the teaching of literature in Russia ; L’extrait dans l’enseignement de la littérature, en russe et en français, dans la Russie d’aujourd’hui
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In: ISSN: 0755-7817 ; EISSN: 2263-5947 ; Repères : Recherches en didactique du français langue maternelle ; https://hal.archives-ouvertes.fr/hal-03607741 ; Repères : Recherches en didactique du français langue maternelle, ENS Lyon, 2021, Lire des œuvres en extraits, quels enjeux pour l’enseignement de la littérature ?, Anissa Belhadjin et Marie-France Bishop (dir.), 64, pp.179-195. ⟨10.4000/reperes.4634⟩ ; https://journals.openedition.org/reperes/4634 (2021)
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Optimizing Word Alignments with Better Subword Tokenization
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In: The 18th biennial conference of the International Association of Machine Translation ; https://hal.archives-ouvertes.fr/hal-03322842 ; The 18th biennial conference of the International Association of Machine Translation, Aug 2021, Miami (virtual), United States (2021)
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Stimulus and response conflict from a second language: Stroop interference in weakly-bilingual and recently-trained languages
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In: ISSN: 0001-6918 ; EISSN: 1873-6297 ; Acta Psychologica ; https://hal.archives-ouvertes.fr/hal-03356475 ; Acta Psychologica, Elsevier, 2021, 218, pp.103360. ⟨10.1016/j.actpsy.2021.103360⟩ (2021)
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Observación Participante de Clases Virtuales Bilingües en K-2 Durante Covid-19
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In: World Languages and Cultures (2021)
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Modeling and Analyzing Users' Privacy Disclosure Behavior to Generate Personalized Privacy Policies
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In: Boise State University Theses and Dissertations (2021)
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Abstract:
Privacy and its importance to society have been studied for centuries. While our understanding and continued theory building to hypothesize how users make privacy disclosure decisions has increased over time, the struggle to find a one-size solution that satisfies the requirements of each individual remains unsolved. Depending on culture, gender, age, and other situational factors, the concept of privacy and users' expectations of how their privacy should be protected varies from person to person. The goal of this dissertation is to design and develop tools and algorithms to support personal privacy management for end-users. The foundation of this research is based on ensuring the appropriate flow of information based on a user's unique set of personalized rules, policies, and principles. This goal is achieved by building a context-aware and user-centric privacy framework that applies insights from the users' privacy decision-making process, natural language processing (NLP), and formal specification and verification techniques. We conducted a survey (N=401) based on the theory of planned behavior (TPB) to measure the way users' perceptions of privacy factors and intent to disclose information are affected by three situational factors embodied by hypothetical scenarios: information type, recipients' role, and trust source. To help build usable privacy tools, we developed multiple NLP models based on novel architectures and ground truth datasets, that can precisely recognize privacy disclosures through text by utilizing state-of-the-art semantic and syntactic analysis, the hidden pattern of sentence structure, tone of the author, and metadata from the content. We also designed a methodology to formally model, validate, and verify personalized privacy disclosure behavior based on the analysis of the users' situational decision-making process. A robust model checking tool (UPPAAL) is used to represent users' self-reported privacy disclosure behavior by an extended form of finite state automata (FSA). Further, reachability analysis is performed for the verification of privacy properties through computation tree logic (CTL) formulas. Most importantly, we study the correctness, explainability, usability, and acceptance of the proposed methodologies. This dissertation, through extensive amounts of experimental results, contributes several insights to the area of user-tailored privacy modeling and personalized privacy systems.
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Keyword:
behavioral modeling; Computer Sciences; formal method; machine learning; natural language processing; privacy; security
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URL: https://scholarworks.boisestate.edu/cgi/viewcontent.cgi?article=2988&context=td
https://scholarworks.boisestate.edu/td/1855
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| 9 |
In-Game Social Interactions to Facilitate ESL Students' Morphological Awareness, Language and Literacy Skills
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In: Computer Science Faculty Publications and Presentations (2021)
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Brain-Inspired Audio-Visual Information Processing Using Spiking Neural Networks
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Wendt, Anne. - : Auckland University of Technology, 2021
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| 11 |
An explanatory sequential mixed methods study exploring interpersonal relationships and social-emotional learning in dual language two-way immersion and general education classrooms.
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| 12 |
Can Google Translate Rewire Your L2 English Processing?
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In: Resende, Natália orcid:0000-0002-5248-2457 and Way, Andy orcid:0000-0001-5736-5930 (2021) Can Google Translate Rewire Your L2 English Processing? Digital, 1 (1). pp. 66-85. ISSN 2673-6470 (2021)
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| 13 |
The L2L system for second language learning using visualised zoom calls among students
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In: Dey-Plissonneau, Aparajita, Lee, Hyowon orcid:0000-0003-4395-7702 , Pradier, Vincent orcid:0000-0002-7050-6408 , Scriney, Michael orcid:0000-0001-6813-2630 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2021) The L2L system for second language learning using visualised zoom calls among students. In: 16th European Conference on Technology-Enhanced Learning EC-TEL 2021, 20-24 Sept 2021, Bozen-Bolzano, Italy (Online). ISBN 978-3-030-86435-4 (2021)
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Facilitating reflection in teletandem through automatically generated conversation metrics and playback video
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In: Dey-Plissonneau, Aparajita, Lee, Hyowon orcid:0000-0001-7628-1441 , Scriney, Michael orcid:0000-0001-6813-2630 , Smeaton, Alan F. orcid:0000-0001-6339-6194 , Pradier, Vincent orcid:0000-0002-7050-6408 and Riaz, Hamza (2021) Facilitating reflection in teletandem through automatically generated conversation metrics and playback video. In: EuroCALL: Computer Aided Language Learning, August 2021, Paris, France. (In Press) (2021)
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Supporting an effective review of telecollaboration for second language learning by visualising the participation and engagement at Dublin City University
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In: Lee, Hyowon orcid:0000-0003-4395-7702 , Scriney, Michael orcid:0000-0001-6813-2630 , Dey-Plissonneau, Aparajita and Smeaton, Alan orcid:0000-0003-1028-8389 (2021) Supporting an effective review of telecollaboration for second language learning by visualising the participation and engagement at Dublin City University. In: Virtual Exchange in Higher Education: Charting the Irish Experience, 17 Sept 2021, Online vs MS Teams. (2021)
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English machine reading comprehension: new approaches to answering multiple-choice questions
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Dzendzik, Daria. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021
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In: Dzendzik, Daria (2021) English machine reading comprehension: new approaches to answering multiple-choice questions. PhD thesis, Dublin City University. (2021)
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| 18 |
Producing Podcasts in a Chinese Classroom: A Digital Humanities Project
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In: Chinese Language Teaching Methodology and Technology (2021)
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Improving Chinese Language Learning through Collaborative Kahoot Mode
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In: Chinese Language Teaching Methodology and Technology (2021)
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Learning Strategies, Motivation and Learners' Perspectives on Online Multimodal Chinese Learning
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In: Chinese Language Teaching Methodology and Technology (2021)
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