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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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Language modeling for personality prediction
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Abstract:
This dissertation can be divided into two large questions. The first is a supervised learning problem: given text from an individual, how much can be said about their personality? The second is more fundamental: what personality structure is embedded in modern language models? To address the first question, three language models are used to predict many traits from Facebook Statuses. Traits include: gender, religion, politics, Big5 personality, sensational interests, impulsiveness, IQ, fair-mindedness, and self-disclosure. Linguistic Inquiry Word Count (Pennebaker et al., 2015), the dominant model used in psychology, explains close to zero variance on many labels. Bag of Words performs well and the model weights provide valuable insight about why predictions are made. Neural Nets perform the best by a wide margin on personality traits especially when few training samples are available. A pretrained personality model is made available online that can explain 10% of the variance of a trait with as little as 400 samples, within the range of normal psychology studies. This is a good replacement for Linguistic Inquiry Word Count in predictive settings. In psychology, personality structure is defined by dimensionality reduction of word vectors (Goldberg, 1993). To address the second question, factor analysis is performed on embeddings of personality words produced by the language model RoBERTa (Liu et al., 2019). This recovers two factors that look like Digman’s α and β (Digman, 1997) and not the more popular Big Five. The structure is shown to be robust to choice of context around an embedded word, language model, factorization method, word set and English vs Spanish. This is a flexible tool for exploring personality structure that can easily be applied to other languages.
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Keyword:
Computer engineering; Lexical hypothesis; Machine learning; Natural language processing; Personality; Social media
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URL: https://hdl.handle.net/2144/41942
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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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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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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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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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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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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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