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T2K^2: a System for Automatically Extracting and Organizing Knowledge from Texts., , , and . LREC, page 2062-2070. European Language Resources Association (ELRA), (2014)Crisis Mapping During Natural Disasters via Text Analysis of Social Media Messages., , , and . WISE (2), volume 9419 of Lecture Notes in Computer Science, page 250-258. Springer, (2015)NLP based Information Extraction methods for Patent Analysis.. University of Pisa, Italy, (2017)A Linguistically-driven Approach to Cross-Event Damage Assessment of Natural Disasters from Social Media Messages., , , and . WWW (Companion Volume), page 1195-1200. ACM, (2015)Identifying Predictive Features for Textual Genre Classification: the Key Role of Syntax., , , , and . CLiC-it, volume 2006 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Building the state-of-the-art in POS tagging of Italian Tweets., and . CLiC-it/EVALITA, volume 1749 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Multi-Task Learning in Deep Neural Network for Sentiment Polarity and Irony classification., , and . NL4AI@AI*IA, volume 2244 of CEUR Workshop Proceedings, page 76-82. CEUR-WS.org, (2018)Assessing the Readability of Sentences: Which Corpora and Features?, , , , and . BEA@ACL, page 163-173. The Association for Computer Linguistics, (2014)Hate Me, Hate Me Not: Hate Speech Detection on Facebook., , , , and . ITASEC, volume 1816 of CEUR Workshop Proceedings, page 86-95. CEUR-WS.org, (2017)Tandem LSTM-SVM Approach for Sentiment Analysis., and . CLiC-it/EVALITA, volume 1749 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)