Titlebook: Experimental IR Meets Multilinguality, Multimodality, and Interaction; 13th International C Alberto Barrón-Cede?o,Giovanni Da San Martino,N

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Rhythmic and?Psycholinguistic Features for?Authorship Tasks in?the?Spanish Parliament: Evaluation anobtained by a BETO transformer, when the latter is trained on the original text, i.e., potentially learning from topical information. Moreover, we further investigate the results for the different authors, showing that variations in performance are partially explainable in terms of the authors’ poli

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The Impact of?Pre-processing on?the?Performance of?Automated Fake News Detectionand BERT pre-trained model. In addition to URLs, we analyzed the impact of different approaches for dealing with emojis and Twitter handles on the performance of the models. Our results show URLs could be good clues for identifying fake news, despite the fact that they are usually removed in pre-pro

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An Analysis of?Logic Rule Dissemination in?Sentiment Classifiers the predictions of any classifier in an interpretable and faithful manner. Our experiments show that (a) accuracy is misleading in assessing these methods, (b) not all these methods are effectively capturing the . structure, (c) often, the underlying sequence model is what captures the syntactic st

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Using Entities in?Knowledge Graph Hierarchies to?Classify Sensitive Informationtion method that models entities in a hierarchical structure, based on the underlying structure of Wikipedia, to generate a more informative representation of entities and their roles. Our experiments, on a test collection containing real-world sensitivities, show that our proposed approach results

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