Bilingual Co-Training for Sentiment Classification of Chinese Product Reviews

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WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization (2020, background): “Scarcity of cross-lingual summarization data has limited prior work to a few languages, and mostly in the news domain (Wan et al., 2010; Wan, 2011; Yao et al., 2015; Zhang et al., 2016; Wan et al., 2019).”
A survey on classification techniques for opinion mining and sentiment analysis (2017, methodology): “Blum and Mitchell’s algorithm is used in Wan (2011) to do sentiment classification on reviews, using Chinese data from one view and English data from another view.”
BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network (2012, background): “These include, among others, text summarization [82], named entity disambiguation [16], Question Answering [48,66], text categorization [40,130,88], coreference resolution [107,111], sentiment analysis [125, 129] and plagiarism detection [10].”