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Exploring individual variation in Turkish heritage speakers’ complex linguistic productions: Evidence from discourse markers ...
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A dimension reduction technique applied to regression on high dimension, low sample size neurophysiological data sets
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In: ISSN: 1471-2202 ; EISSN: 1471-2202 ; BMC Neuroscience ; https://hal.univ-grenoble-alpes.fr/hal-03374818 ; BMC Neuroscience, BioMed Central, 2021, 22 (1), ⟨10.1186/s12868-020-00605-0⟩ (2021)
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Native word order processing is not uniform: An ERP-study of verb-second word order ...
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A multi-method approach to correlate identification in acoustic data: The case of Media Lengua
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 13 ; 1868-6354 (2021)
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The Orange workflow for observing collocation trends ColTrend 1.0
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Which data do elementary school teachers use to determine reading difficulties in their students?
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In: Journal of learning disabilities 54 (2021) 5, S. 349-364 (2021)
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Which data do elementary school teachers use to determine reading difficulties in their students? ...
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Topic-Oriented Text Features Can Match Visual Deep Models of Video Memorability
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In: Applied Sciences ; Volume 11 ; Issue 16 (2021)
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Abstract:
Not every visual media production is equally retained in memory. Recent studies have shown that the elements of an image, as well as their mutual semantic dependencies, provide a strong clue as to whether a video clip will be recalled on a second viewing or not. We believe that short textual descriptions encapsulate most of these relationships among the elements of a video, and thus they represent a rich yet concise source of information to tackle the problem of media memorability prediction. In this paper, we deepen the study of short captions as a means to convey in natural language the visual semantics of a video. We propose to use vector embeddings from a pretrained SBERT topic detection model with no adaptation as input features to a linear regression model, showing that, from such a representation, simpler algorithms can outperform deep visual models. Our results suggest that text descriptions expressed in natural language might be effective in embodying the visual semantics required to model video memorability.
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Keyword:
BERT; DenseNet-121; linear regression; PCA; sentence-BERT; topic detection; transformer; video memorability
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URL: https://doi.org/10.3390/app11167406
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Understanding Neural Signals related to Speech Processing in Humans During Sleep
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In: Electronic Thesis and Dissertation Repository (2021)
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Dietary consumption in the Swiss Kidney Stone Cohort-NCCR Kidney.CH
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In: Swiss Medical Weekly, vol. 151, no. SUPPL 256, pp. 18S-19S (2021)
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Evaluating Program Diversity and the Probability of Gifted Identification Using the Torrance Test of Creative Thinking
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Predicción del bienestar sobre el uso de pantallas inteligentes de los niños
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 66, 2021, pags. 119-128 (2021)
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F0 and duration changes in unstressed vs. stressed syllables connected to postlexical stress and sentence type in Standard Lithuanian
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In: Nordlyd: Tromsø University Working Papers on Language & Linguistics, Vol 45, Iss 1 (2021) (2021)
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Behavioral and Neurophysiological Representations of Speech Phonemic Units ; Représentations comportementale et neurophysiologique des unités phonémiques de la parole
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In: https://tel.archives-ouvertes.fr/tel-03247462 ; Cognitive Sciences. Université Grenoble Alpes [2020-.]; Universidade federal de Minas Gerais, 2020. English. ⟨NNT : 2020GRALS036⟩ (2020)
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Empirical logit analysis is not logistic regression
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In: Journal of Memory and Language (2020)
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Rapid computations of spectrotemporal prediction error support perception of degraded speech. ...
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Speech Emotion Recognition: Recurrent Neural Networks compared to SVM and Linear Regression
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In: Artificial Neural Networks and Machine Learning – ICANN 2017 ; https://hal.archives-ouvertes.fr/hal-02432632 ; Alessandra Lintas; Stefano Rovetta; Paul F.M.J. Verschure; Alessandro E.P. Villa. Artificial Neural Networks and Machine Learning – ICANN 2017, 10613, Springer International Publishing, pp.451-453, 2019, Lecture Notes in Computer Science ; https://link.springer.com/book/10.1007%2F978-3-319-68600-4?page=2#toc (2019)
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Discriminative ridge regression algorithm for adaptation in statistical machine translation
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Predicting Text Readability with Personal Pronouns
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In: IFIP Advances in Information and Communication Technology ; 2nd International Conference on Intelligence Science (ICIS) ; https://hal.inria.fr/hal-02118839 ; 2nd International Conference on Intelligence Science (ICIS), Nov 2018, Beijing, China. pp.255-264, ⟨10.1007/978-3-030-01313-4_27⟩ (2018)
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A Diachronic Corpus for Literary Style Analysis ; Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
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