Titlebook: Accountable and Explainable Methods for Complex Reasoning over Text; Pepa Atanasova Book 2024 The Editor(s) (if applicable) and The Author

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Book 2024rtation written by the author to receive her PhD from the Faculty of Science, University ofCopenhagen, Denmark. In 2023, it won the Informatics Europe Best Dissertation Award, granted to the most outstanding European PhD thesis in the field of computer science..

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Epidemiologia e fattori di rischioextensive datasets, contributing to breakthroughs in a variety of tasks. However, the increased complexity of these models has raised concerns about their opacity, limiting human understanding of decision-making processes. In response, this book focuses on methods for accountable and transparent mac

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Epidemiologia e fattori di rischios to make veracity predictions only when there is sufficient evidence and otherwise indicate when it is not enough. To this end, we are the first to study what information FC models consider sufficient by introducing a novel task and advancing it with three main contributions. First, we conduct an i

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Epidemiologia e fattori di rischioare individual n-grams that, when appended to instances of a class under attack, can trick a model into predicting a target class. However, for inference tasks such as fact checking, these triggers often inadvertently invert the meaning of instances they are inserted in. In addition, such attacks pr

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Epidemiologia e fattori di rischiosed in claims, and, more recently, evidence supporting or denying claims. A crucial piece of the puzzle that is still missing is to understand how to automate the most elaborate part of the process—generating justifications for verdicts on claims. This paper provides the first study of how these exp

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