1,721,032 research outputs found

    EVALITA 2023: Overview of the 8th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian

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    EVALITA provides a shared framework for evaluating and comparing different Nautural Language Processing (NLP) and speech systems across various tasks suggested and organized by the Italian research community. These tasks represent scientific challenges and allow testing of methods, resources, and systems on shared benchmarks related to linguistic open issues and real-world applications, including considering multilingual and/or multi-modal perspectives. The EVALITA 2023 edition consisted of 13 different tasks grouped into four research areas: Affect, Authorship Analysis, Computational Ethics, and New Challenges in Long-standing Tasks. The participation saw 42 groups from 12 different countries, indicating an increasing international interest, partly due to the proposal of multilingual tasks. The final workshop showcases the results obtained and highlights the growing interest in using deep learning techniques based on Large Language Models as a new trend. Overall, EVALITA serves as a valuable platform for Italian and international researchers to explore NLP-related challenges, develop solutions, and foster discussions within the community

    InriaFBK Drawing Attention to Offensive Language at Germeval2019

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    In this paper we describe the system developed by InriaFBK team and submitted to the Germeval2019 task on offensive language detection and classification. With the same architecture we participate to all subtasks: binary classification of offensive and not offensive tweets, 4-class message categorisation based on offense type (Profanity, Insult, Abuse and Other), and classification of explicit and implicit offensive language. The two runs submitted for each subtask are obtained with and without attention mechanism. After evaluating our system performance on Germeval2018 test set, we observe that attention is remarkably beneficial in the more challenging tasks of implicit offense detection and offense categorisation

    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

    Gli strumenti informatici. Sviluppo e risultati

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    Per riconoscere i tratti linguistici di interesse su un corpus composto da quasi tremila temi e per annotarli in modo coerente si è reso necessario lo sviluppo di diversi strumenti informatici. Tali software appartengono a due tipologie: da un lato, si sono sviluppati alcuni moduli per l'analisi del testo, che in modo automatico riconoscono dei tratti o estraggono delle informazioni parziali utili a riconoscere i tratti in modo manuale. Dall'altro, si è adattata al progetto una piattaforma online che permette di effettuare annotazione linguistica multilivello con diversi annotatori al lavoro in parallelo su porzioni diverse del corpus di temi

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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