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Language learners’ enjoyment and emotion regulation in online collaborative learning
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Study of central exclusive [Image: see text] production in proton-proton collisions at [Formula: see text] and 13TeV
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In: Eur Phys J C Part Fields (2020)
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Hate speech detection: a solved problem? The challenging case of Long Tail on Twitter
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Deep and sparse learning in speech and language processing: An overview
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Abstract:
Large-scale deep neural models, e.g., deep neural networks (DNN) and recurrent neural networks (RNN), have demonstrated significant success in solving various challenging tasks of speech and language processing (SLP), including speech recognition, speech synthesis, document classification and question answering. This growing impact corroborates the neurobiological evidence concerning the presence of layer-wise deep processing in the human brain. On the other hand, sparse coding representation has also gained similar success in SLP, particularly in signal processing, demonstrating sparsity as another important neurobiological characteristic. Recently, research in these two directions is leading to increasing cross-fertlisation of ideas, thus a unified Sparse Deep or Deep Sparse learning framework warrants much attention. This paper aims to provide an overview of growing interest in this unified framework, and also outlines future research possibilities in this multi-disciplinary area.
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Keyword:
Deep learning; Language processing; Sparse coding; Speech processing
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URL: http://hdl.handle.net/1893/26251 https://doi.org/10.1007/978-3-319-49685-6_16 http://dspace.stir.ac.uk/bitstream/1893/26251/1/Wang_etal_LNCS_2016.pdf
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Measurement of the muon reconstruction performance of the ATLAS detector using 2011 and 2012 LHC proton-proton collision data.
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In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; CrossRef (2014)
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Focus on China: should clinicians engage in research? and lessons from other countries.
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In: Quant Imaging Med Surg , 4 (5) 413 - 425. (2014) (2014)
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Focus on China: should clinicians engage in research? and lessons from other countries.
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In: Quant Imaging Med Surg , 4 (5) pp. 413-425. (2014) (2014)
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A contrastive analysis of values in intercultural communication between native speakers of English and Chinese
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Genetic analysis of the U5-PBS of a novel HIV-1 reveals multiple interactions between the tRNA and RNA genome required for initiation of reverse transcription.
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