Dependency Syntax in the Automatic Detection of Irony and Stance

被引:0
|
作者
Teresa Cignarella, Alessandra [1 ,2 ]
机构
[1] Univ Politecn Valencia, PRHLT Res Ctr, Valencia, Spain
[2] Univ Torino, Dipartimento Informat, Turin, Italy
来源
关键词
Universal Dependencies; Irony Detection; Stance Detection; NLP; Multilingual; User-Generated Content; Twitter; BERT;
D O I
10.26342/2022-68-11
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
PhD thesis in Computer Science written by Alessandra Teresa Cignarella under the supervision of Dr. Cristina Bosco (University of Turin) and Prof. Dr. Paolo Rosso (Universitat Politecnica de Valencia). This thesis was developed under a cotutelle between the PRHLT Research Center of the Universitat Politecnica de Valencia, Spain and the Computer Science Department of the University of Turin, Italy. The thesis defense was held in Torino (online), Italy on October 26th, 2021. The doctoral committee was composed by: Prof. Dr. Joakim Nivre (Department of Linguistics and Philology, Uppsala University, Sweden), Dr. Saif M. Mohammad (National Research Council Canada, Ottawa, Canada), and Prof. Dr. Veronique Hoste (Department of Translation, Interpreting and Communication, Ghent, Belgium). An international mention was achieved after having spent 18 months at the Universita degli Studi di Torino and 18 months at the Universitat Politecnica de Valencia.
引用
收藏
页码:145 / 148
页数:4
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