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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 32 1 Label definitions augmented interaction model for legal charge prediction Kang, L.; Liu, J.; Liu, L.... In: https://link.springer.com/book/10.1007/978-3-030-72113-8 (2021) BASE Show details 2 DNA Methylation Biomarkers of IQ Reduction are Associated with Long-term Lead Exposure in School Aged Children in Southern China Wan, C.; Pan, S.; Lin, L.. - 2021 BASE Show details 3 The trans-ancestral genomic architecture of glycemic traits Chen, J; Spracklen, CN; Marenne, G. - : Nature Research, 2021 BASE Show details 4 The trans-ancestral genomic architecture of glycemic traits. Chen, J; Spracklen, CN; Marenne, G. - 2021 BASE Show details 5 The trans-ancestral genomic architecture of glycemic traits. Chen, J.; Spracklen, C.N.; Marenne, G.... In: Nature genetics, vol. 53, no. 6, pp. 840-860 (2021) BASE Show details 6 Are the protective benefits of vitamin D in neurodegenerative disease dependent on route of administration? A systematic review Iacopetta, K.; Collins-Praino, L.E.; Buisman-Pijlman, F.... In: https://www-tandfonline-com.proxy.library.adelaide.edu.au/doi/full/10.1080/1028415X.2018.1493807 (2020) BASE Show details 7 Prescribing competency assessment for Canadian medical students: a pilot evaluation Holbrook, Anne; Liu, J. Tiger; Rieder, Michael. - : Canadian Medical Education Journal, 2019 BASE Show details 8 Native-speakerism in ELT: A case study of English language education in China Liu, J. - 2018 BASE Show details 9 The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging Schillinger, D; McNamara, D; Crossley, S... In: Schillinger, D; McNamara, D; Crossley, S; Lyles, C; Moffet, HH; Sarkar, U; et al.(2017). The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging. JOURNAL OF DIABETES RESEARCH. doi:10.1155/2017/1348242. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/0384j5vf (2017) BASE Show details 10 A comparative study of students' strategy use in reading texts for the IELTS test and those for academic study Liu, J.. - 2017 BASE Show details 11 Evaluation of statistical text normalisation techniques for Twitter Sosamphan, P.; Liesaputra, Veronica; Yongchareon, Dr. Sira. - : IC3K, 2017 BASE Show details 12 Evaluation of statistical text normalisation techniques for Twitter Sosamphan, P.; Liesaputra, Veronica; Yongchareon, Dr. Sira; Mohaghegh, Dr Mahsa. - : IC3K, 2017 Abstract: One of the major challenges in the era of big data use is how to ‘clean’ the vast amount of data, particularly from micro-blog websites like Twitter. Twitter messages, called tweets, are commonly written in ill-forms, including abbreviations, repeated characters, and misspelled words. These ‘noisy tweets’ require text normalisation techniques to detect and convert them into more accurate English sentences. There are several existing techniques proposed to solve these issues, however each technique possess some limitations and therefore cannot achieve good overall results. This paper aims to evaluate individual existing statistical normalisation methods and their possible combinations in order to find the best combination that can efficiently clean noisy tweets at the character-level, which contains abbreviations, repeated letters and misspelled words. Tested on our Twitter sample dataset, the best combination can achieve 88% accuracy in the Bilingual Evaluation Understudy (BLEU) score and 7% Word Error Rate (WER) score, both of which are considered better than the baseline model. Keyword: 080109 Pattern Recognition and Data Mining; 150502 Marketing Communications; big data; data normalisation; lexical normalisation; micro-blogs; noisy tweets; normalisation; social media; statistical language models; text cleansers; tweets; Twitter URL: https://hdl.handle.net/10652/3808 BASE Hide details 13 Evaluation of statistical text normalisation techniques for Twitter Sosamphan, P.; Liesaputra, Veronica; Yongchareon, Dr. Sira. - : IC3K, 2017 BASE Show details 14 How does studying abroad change Chinese students' choice of reading strategies? Liu, J.. - : University of Toronto Press, 2016 BASE Show details 15 Methods for conducting systematic reviews of risk factors in low- and middle-income countries Liu, J.; Eisner, M.; Gardner, F.. - : Biomed Central, 2016 BASE Show details 16 Social touch gesture recognition using random forest and boosting on distinct feature sets Gaus, YFA; Olugbade, T; Jan, A. - : ACM, 2015 BASE Show details 17 Memetic analysis of parody in advertisements Liu, J; Nguyen, HB. - : Nova Science Publishers, 2015 BASE Show details 18 Reading transition in Chinese international students: through the lens of activity system theory Liu, J.. - : Elsevier, 2014 BASE Show details 19 Physical activity during pregnancy and language development in the offspring Jukic, A.; Lawlor, D.; Juhl, M.. - : Wiley, 2013 BASE Show details 20 A statistical study on ELF-whistlers/emissions and M ≥ 5.0 earthquakes in Taiwan Liu, J. Y.; Wang, K.; Chen, C. H.. - : Wiley-Blackwell Publishing, 2013 BASE Show details Page: 1 2

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