1,720,972 research outputs found

    Francesco-Sovrano/DiscoLQA: Camera-ready Version

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    <p>Replication package for the AI & Law paper titled "DiscoLQA: zero-shot discourse-based legal question answering on European Legislation" (https://doi.org/10.1007/s10506-023-09387-2).</p&gt

    Francesco-Sovrano/DoXpy: Camera-ready Version

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    <p>Replication package for the KNOSYS paper titled "An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability" (https://doi.org/10.1016/j.knosys.2023.110866).</p&gt

    Francesco-Sovrano/Swiss-G2C-User-Guide-Analysis: First release

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    <p>Code and data for the paper "Beyond the Lab: An In-Depth Analysis of Real-World Practices in Government-to-Citizen Software User Documentation"</p&gt

    Francesco-Sovrano/Automating-Regulatory-Compliance-An-Empirical-Study-on-Ranking-Transparency-of-EU-Online-Platforms: Camera-ready Version

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    <p>Version of the code used for the paper 'An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms' (https://doi.org/10.48550/arXiv.2312.14794), accepted for publication at ICSE-SEIS 2024 (https://conf.researchr.org/track/icse-2024/icse-2024-software-engineering-in-society#event-overview).</p&gt

    Legal Knowledge Extraction for Knowledge Graph Based Question-Answering

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    This paper presents the Open Knowledge Extraction (OKE) tools combined with natural language analysis of the sentence in order to enrich the semantic of the legal knowledge extracted from legal text. In particular the use case is on international private law with specific regard to the Rome I Regulation EC 593/2008, Rome II Regulation EC 864/2007, and Brussels I bis Regulation EU 1215/2012. A Knowledge Graph (KG) is built using OKE and Natural Language Processing (NLP) methods jointly with the main ontology design patterns defined for the legal domain (e.g., event, time, role, agent, right, obligations, jurisdiction). Using critical questions, underlined by legal experts in the domain, we have built a question answering tool capable to support the information retrieval and to answer to these queries. The system should help the legal expert to retrieve the relevant legal information connected with topics, concepts, entities, normative references in order to integrate his/her searching activities

    The difference between Explainable and Explaining: requirements and challenges under the GDPR

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    We know that Automated Decision-Making (ADM) is currently changing industry, thus people and countries started to be concerned about the impact that may have on everyone lives. The GDPR stresses the importance of a Right to Explanation (e.g., art. 22, artt. 13-14-15, recital 71), requiring the AI industry to adapt consequently, thus giving rise to eXplainable AI (XAI). Modern XAI proposes some solutions to make ADM more transparent following the principle included in the GDPR (art. 5), but many researchers criticize XAI to provide little justification for choosing different explanation types or representations. In this paper we propose a new model of an explanatory process based on the idea of explanatory narratives, claiming that it is powerful enough to allow many possible types of explanations including causal, contrastive, justificatory and other types of non-causal explanations

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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