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What Makes My Model Perplexed? A Linguistic Investigation on Neural Language Models Perplexity.

, , , and . DeeLIO@NAACL-HLT, page 40-47. Association for Computational Linguistics, (2021)

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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)Dangerous Relations in Dependency Treebanks., , , and . TLT, page 201-210. (2018)READ-IT: Assessing Readability of Italian Texts with a View to Text Simplification., , and . SLPAT, page 73-83. Association for Computational Linguistics, (2011)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)Building an Italian Written-Spoken Parallel Corpus: a Pilot Study., , , , and . CLiC-it, volume 2481 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Predicting Movie-elicited Emotions from Dialogue in Screenplay Text: A Study on "Forrest Gump"., and . CLiC-it, volume 2769 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)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)Word Embeddings in Sentiment Analysis., and . CLiC-it, volume 2253 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)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)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)