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argument mining, argument generation and argument summarization including identification of the logical structure of an argument and understanding the interaction between the persuasiveness of an argument and the beliefs of the reader;
discourse-aware methods for opinion, event, and argument extraction;
NLP methods for low-resource languages;
neural representations for long documents.
Book review: sentiment analysis and opinion miningbing liuuniversity of illinois at chicago morgan & claypool synthesis lectures on human language technologies, edited by graeme hirst, 51, 2012, 167 pp; paperbound, isbn 978-1-60845-884-4