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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 3 4 5 Hits 1 – 20 of 90 1 On cross-lingual retrieval with multilingual text encoders Litschko, Robert; Vulić, Ivan; Ponzetto, Simone Paolo. - : Springer Science + Business Media, 2022 BASE Show details 2 On Cross-Lingual Retrieval with Multilingual Text Encoders ... Litschko, Robert; Vulić, Ivan; Ponzetto, Simone Paolo. - : arXiv, 2021 BASE Show details 3 Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval ... Litschko, Robert; Vulić, Ivan; Ponzetto, Simone Paolo. - : arXiv, 2021 BASE Show details 4 Come hither or go away? Recognising pre-electoral coalition signals in the news ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Adendorf, Anna; Bahnsen, Oke. - : Underline Science Inc., 2021 BASE Show details 5 Evaluating multilingual text encoders for unsupervised cross-lingual retrieval Litschko, Robert; Vulić, Ivan; Ponzetto, Simone Paolo. - : Springer, 2021 BASE Show details 6 Come hither or go away? Recognising pre-electoral coalition signals in the news Rehbein, Ines; Ponzetto, Simone Paolo; Adendorf, Anna. - : Association for Computational Linguistics, 2021 BASE Show details 7 AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings ... Lauscher, Anne; Takieddin, Rafik; Ponzetto, Simone Paolo. - : arXiv, 2020 BASE Show details 8 Word Sense Disambiguation for 158 Languages using Word Embeddings Only ... Logacheva, Varvara; Teslenko, Denis; Shelmanov, Artem. - : arXiv, 2020 BASE Show details 9 SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment ... The 28th International Conference on Computational Linguistics 2020; Glavaš, Goran; Korhonen, Anna. - : Underline Science Inc., 2020 BASE Show details 10 SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment ... Glavas, Goran; Vulic, Ivan; Korhonen, Anna-Leena. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 11 SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment Glavas, Goran; Vulic, Ivan; Korhonen, Anna-Leena. - : International Committee for Computational Linguistics, 2020. : https://www.aclweb.org/anthology/2020.semeval-1.2, 2020. : Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020), 2020 BASE Show details 12 A Twitter Political Corpus of the 2019 10N Spanish Election Rosso, Paolo; Ponzetto, Simone Paolo; Sánchez-Junquera, Javier. - : Springer, 2020 BASE Show details 13 AraWEAT: Multidimensional analysis of biases in Arabic word embeddings Lauscher, Anne; Takieddin, Rafik; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2020 BASE Show details 14 SemEval-2020 Task 2: Predicting multilingual and cross-lingual (graded) lexical entailment Glavaš, Goran; Vulić, Ivan; Korhonen, Anna. - : Association for Computational Linguistics, 2020 BASE Show details 15 FacTweet: Profiling Fake News Twitter Accounts Rosso, Paolo; Ponzetto, Simone Paolo; Ghanem, Bilal Hisham Hasan. - : Springer, 2020 Abstract: [EN] We present an approach to detect fake news in Twitter at the account level using a neural recurrent model and a variety of different semantic and stylistic features. Our method extracts a set of features from the timelines of news Twitter accounts by reading their posts as chunks, rather than dealing with each tweet independently. We show the experimental benefits of modeling latent stylistic signatures of mixed fake and real news with a sequential model over a wide range of strong baselines ; The work of Paolo Rosso was partially funded by the Spanish MICINN under the research project MISMIS-FAKEnHATE on Misinformation and Miscommunication in social media: FAKE news and HATE speech (PGC2018-096212-B-C31) ; Ghanem, BHH.; Ponzetto, SP.; Rosso, P. (2020). FacTweet: Profiling Fake News Twitter Accounts. Springer. 35-45. https://doi.org/10.1007/978-3-030-59430-5_3 ; S ; 35 ; 45 ; Aker, A., Kevin, V., Bontcheva, K.: Credibility and transparency of news sources: data collection and feature analysis. arXiv (2019) ; Aker, A., Kevin, V., Bontcheva, K.: Predicting news source credibility. arXiv (2019) ; Badawy, A., Lerman, K., Ferrara, E.: Who falls for online political manipulation? In: Companion Proceedings of the 2019 World Wide Web Conference, pp. 162–168. ACM (2019) ; Baly, R., Karadzhov, G., Alexandrov, D., Glass, J., Nakov, P.: Predicting factuality of reporting and bias of news media sources. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 3528–3539 (2018) ; Baly, R., Karadzhov, G., Saleh, A., Glass, J., Nakov, P.: Multi-task ordinal regression for jointly predicting the trustworthiness and the leading political ideology of news media. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 2109–2116 (2019) ; Boyd, R.L., et al.: Characterizing the Internet Research Agency’s Social Media Operations During the 2016 US Presidential Election using Linguistic Analyses. PsyArXiv (2018) ; Choi, Y., Wiebe, J.: +/-EffectWordNet: sense-level lexicon acquisition for opinion inference. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1181–1191 (2014) ; Clark, E.M., Williams, J.R., Jones, C.A., Galbraith, R.A., Danforth, C.M., Dodds, P.S.: Sifting robotic from organic text: a natural language approach for detecting automation on Twitter. J. Comput. Sci. 16, 1–7 (2016) ; Davis, C.A., Varol, O., Ferrara, E., Flammini, A., Menczer, F.: BotOrNot: a system to evaluate social bots. In: Proceedings of the 25th International Conference Companion on World Wide Web, pp. 273–274. International World Wide Web Conferences Steering Committee (2016) ; Dhingra, B., Zhou, Z., Fitzpatrick, D., Muehl, M., Cohen, W.W.: Tweet2Vec: character-based distributed representations for social media. In: The 54th Annual Meeting of the Association for Computational Linguistics (ACL), p. 269 (2016) ; Dickerson, J.P., Kagan, V., Subrahmanian, V.: Using sentiment to detect bots on Twitter: are humans more opinionated than bots? In: 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), pp. 620–627. IEEE (2014) ; Ghanem, B., Buscaldi, D., Rosso, P.: TexTrolls: identifying Russian trolls on Twitter from a textual perspective. arXiv preprint arXiv:1910.01340 (2019) ; Ghanem, B., Cignarella, A.T., Bosco, C., Rosso, P., Rangel, F.: UPV-28-UNITO at SemEval-2019 Task 7: exploiting post’s nesting and syntax information for rumor stance classification. In: Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval), pp. 1125–1131 (2019) ; Ghanem, B., Glavas, G., Giachanou, A., Ponzetto, S.P., Rosso, P., Pardo, F.M.R.: UPV-UMA at CheckThat! Lab: verifying Arabic claims using a cross lingual approach. In: Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, 9–12 September 2019 (2019) ; Ghanem, B., Rosso, P., Rangel, F.: An emotional analysis of false information in social media and news articles. ACM Trans. Internet Technol. (TOIT) 20(2), 1–18 (2020) ; Giachanou, A., Rosso, P., Crestani, F.: Leveraging emotional signals for credibility detection. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 877–880 (2019) ; Graham, J., Haidt, J., Nosek, B.A.: Liberals and conservatives rely on different sets of moral foundations. J. Pers. Soc. Psychol. 96(5), 1029 (2009) ; Im, J., et al.: Still out there: modeling and identifying Russian troll accounts on Twitter. arXiv preprint arXiv:1901.11162 (2019) ; Karduni, A., et al.: Can you verifi this? Studying uncertainty and decision-making about misinformation using visual analytics. In: Twelfth International AAAI Conference on Web and Social Media (ICWSM) (2018) ; Mohammad, S.M., Turney, P.D.: Emotions evoked by common words and phrases: using mechanical turk to create an emotion lexicon. In: Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, pp. 26–34 (2010) ; Shao, C., Ciampaglia, G.L., Varol, O., Flammini, A., Menczer, F.: The spread of fake news by social bots. arXiv preprint arXiv:1707.07592, pp. 96–104 (2017) ; Volkova, S., Shaffer, K., Jang, J.Y., Hodas, N.: Separating facts from fiction: linguistic models to classify suspicious and trusted news posts on Twitter. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL) (Volume 2: Short Papers), vol. 2, pp. 647–653 (2017) ; Vosoughi, S., Roy, D., Aral, S.: The spread of true and false news online. Science 359(6380), 1146–1151 (2018) ; Wilson, T., Wiebe, J., Hoffmann, P.: Recognizing contextual polarity in phrase-level sentiment analysis. In: Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (EMNLP) (2005) Keyword: Factual accounts; Fake news; LENGUAJES Y SISTEMAS INFORMATICOS; Twitter accounts URL: https://doi.org/10.1007/978-3-030-59430-5_3 http://hdl.handle.net/10251/178922 BASE Hide details 16 Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ... Ustalov, Dmitry; Panchenko, Alexander; Biemann, Chris. - : Zenodo, 2019 BASE Show details 17 Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ... Ustalov, Dmitry; Panchenko, Alexander; Biemann, Chris. - : Zenodo, 2019 BASE Show details 18 HHMM at SemEval-2019 Task 2: Unsupervised frame induction using contextualized word embeddings Arefyev, Nikolay; Panchenko, Alexander; Anwar, Saba. - : Association for Computational Linguistics, ACL, 2019 BASE Show details 19 Policy preference detection in parliamentary debate motions Abercrombie, Gavin; Ponzetto, Simone Paolo; Batista-Navarro, Riza. - : Association for Computational Linguistics, 2019 BASE Show details 20 Watset: Local-global graph clustering with applications in sense and frame induction Panchenko, Alexander; Biemann, Chris; Ustalov, Dmitry. - : MIT Press, 2019 BASE Show details Page: 1 2 3 4 5

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