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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 21 – 28 of 28 21 Knowledge distillation for quality estimation Specia, Lucia; Aletras, Nikolaos; Gajbhiye, Amit... In: 5091 ; 5099 (2021) BASE Show details 22 Complaint Identification in Social Media with Transformer Networks ... Jin, Mali; Aletras, Nikolaos. - : arXiv, 2020 BASE Show details 23 Point-of-Interest Type Inference from Social Media Text ... Villegas, Danae Sánchez; Preoţiuc-Pietro, Daniel; Aletras, Nikolaos. - : arXiv, 2020 BASE Show details 24 Analyzing Political Parody in Social Media ... Maronikolakis, Antonis; Villegas, Danae Sanchez; Preotiuc-Pietro, Daniel; Aletras, Nikolaos. - : arXiv, 2020 Abstract: Parody is a figurative device used to imitate an entity for comedic or critical purposes and represents a widespread phenomenon in social media through many popular parody accounts. In this paper, we present the first computational study of parody. We introduce a new publicly available data set of tweets from real politicians and their corresponding parody accounts. We run a battery of supervised machine learning models for automatically detecting parody tweets with an emphasis on robustness by testing on tweets from accounts unseen in training, across different genders and across countries. Our results show that political parody tweets can be predicted with an accuracy up to 90%. Finally, we identify the markers of parody through a linguistic analysis. Beyond research in linguistics and political communication, accurately and automatically detecting parody is important to improving fact checking for journalists and analytics such as sentiment analysis through filtering out parodical utterances. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2004.13878 https://arxiv.org/abs/2004.13878 BASE Hide details 25 Complaint Identification in Social Media with Transformer Networks ... The 28th International Conference on Computational Linguistics 2020; Aletras, Nikolaos; Jin, Mali. - : Underline Science Inc., 2020 BASE Show details 26 Unsupervised quality estimation for neural machine translation Fomicheva, Marina; Guzmán, Francisco; Chaudhary, Vishrav... In: 8 ; 539 ; 555 (2020) BASE Show details 27 Automatically Identifying Complaints in Social Media ... Preotiuc-Pietro, Daniel; Gaman, Mihaela; Aletras, Nikolaos. - : arXiv, 2019 BASE Show details 28 PATHS: A System for Accessing Cultural Heritage Collections Aletras, Nikolaos; Goodale, Paula; Soroa, Aitor. - : Association for Computational Linguistics, 2013 BASE Show details Page: 1 2

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