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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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Abstract:
In recent years, the increasing propagation of hate speech on social media and the urgent need for effective counter-measures have drawn significant investment from governments, companies, and researchers. A large number of methods have been developed for automated hate speech detection online. This aims to classify textual content into non-hate or hate speech, in which case the method may also identify the targeting characteristics (i.e., types of hate, such as race, and religion) in the hate speech. However, we notice significant difference between the performance of the two (i.e., non-hate v.s. hate). In this work, we argue for a focus on the latter problem for practical reasons. We show that it is a much more challenging task, as our analysis of the language in the typical datasets shows that hate speech lacks unique, discriminative features and therefore is found in the 'long tail' in a dataset that is difficult to discover. We then propose Deep Neural Network structures serving as feature extractors that are particularly effective for capturing the semantics of hate speech. Our methods are evaluated on the largest collection of hate speech datasets based on Twitter, and are shown to be able to outperform the best performing method by up to 5 percentage points in macro-average F1, or 8 percentage points in the more challenging case of identifying hateful content.
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URL: https://doi.org/10.3233/SW-180338
http://eprints.whiterose.ac.uk/137786/
http://eprints.whiterose.ac.uk/137786/1/iosart2x.pdf
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Deep and sparse learning in speech and language processing: An overview
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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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