CABRIO , Elena

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English. In the latest years, a number of real world applications have underlined the need to move from Textual Entailment (TE) pairs to TE graphs where pairs are no more independent. Moving from single pairs to a graph has the advantage of providing an overall view of the issue discussed in the text, but this may lead to possible...

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With the growing use of the Social Web, an increasing number of applications for exchanging opinions with other people are becoming available online. These applications are widely adopted with the consequence that the number of opinions about the debated issues increases. In order to cut in on a debate, the participants need first to evaluate...

Blogs and forums are widely adopted by online communities to debate about various issues. However, a user that wants to cut in on a debate may experience some difficulties in extracting the current accepted positions, and can be discouraged from interacting through these applications. In our paper, we combine textual entailment with...

Beside formal approaches to semantic inference that rely on logical representation of meaning, the notion of Textual Entailment (TE) has been proposed as an applied framework to capture major semantic inference needs across applications in Computational Linguistics. Although several approaches have been tried and evaluation campaigns have shown...

In the knowledge representation and reasoning research area, argumentation theory aims at representing and reasoning over information items called arguments. In everyday life, arguments are reasons to believe and reasons to act, and they are usually expressed in natural language. Even if ad-hoc natural language examples are often provided in...

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Given the growing amount of resources developed in the NLP community, it is crucial to exploit as much as possible annotated data and tools across different research domains. Past works on discourse analysis have been conducted in parallel with research on semantic inference and, although the two fields of study are intertwined, there have been...

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Many argumentation tools have been proposed nowadays to support the users in on-line social discussions. However, the main drawback of these tools is that they do not cope with the automatic generation of the arguments from the natural language discussions of the users. In this paper, we propose to use a technique from computational...

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Argumentation is used by people both internally, by evaluating arguments and counterarguments to make sense of a situation and take a decision, and externally, e.g., in a debate, by exchanging arguments to reach an agreement or to promote an individual position. In this context, the assessment of the quality of the arguments is of extreme...

Recent studies have highlighted the importance to reach a fine-grained online hate speech characterisation to better understand how hate is conveyed, especially on social media. A key element in this scenario is the identification and characterisation of the hate speech target community, e.g., national, ethnic, religious minorities. In this...

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Social media collect and spread on the Web personal opinions, facts, fake news and all kind of information users may be interested in. Applying argument mining methods to such heterogeneous data sources is a challenging open research issue, in particular considering the peculiarities of the language used to write textual messages on social...

One of the mechanisms through which disinformation is spreading online, in particular through social media, is by employing propaganda techniques. These include specific rhetorical and psychological strategies, ranging from leveraging on emotions to exploiting logical fallacies. In this paper, our goal is to push forward research on propaganda...

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In this paper we present an ongoing work on building a repository of knowledge about objects typically found in homes, their usual locations and usage. We extract an RDF knowledge base by automatically reading text on the Web and applying simple inference rules. The obtained common sense object relations are ready to be used in a domestic...

As online content continues to grow, so does the spread of online hate, especially on social media. Most research efforts conducted on the task of bullying participant role identification are directed towards social networks such as Twitter and Instagram. However, private instant messaging platforms and channels were pinpointed in recent...

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