1,721,100 research outputs found
Proceedings of the LREC 2020 workshop on Resources and Techniques for User and Author Profiling in Abusive Language (ResT-UP 2020)
No full textThis volume documents the Proceedings of the 1st Workshop on Resources and Techniques for User and Author Profiling in Abusive Language (ResT-UP), held online on 12 May 2020 as part of the LREC 2020 conference (International Conference on Language Resources and Evaluation).
The workshop aimed at bringing together researchers and scholars working on author profiling and automatic detection of abusive language on the Web, e.g., cyberbullying or hate speech, with a twofold objective: improving the existing LRs, e.g., datasets, corpora, lexicons, and sharing ideas on stylometry techniques and features needed for profile information extraction and classification. ResT-UP targeted Profiling scholars and research groups, experts in Statistic and Stylistic Analysis of texts as well as computational linguists who investigate author profile and personality both in short texts (social media posts, blog texts and email) and in long texts (such as pamphlets, (fake) news and political documents). ReST-UP represented an opportunity to share profiling experiments with the scientific community and to show automatic detection techniques of abusive language on the Web. Despite the cancellation of LREC 2020 due to the COVID-19 international emergency, ResT-UP was organized online on Microsoft Teams on May 12th 2020 and the programme included three oral presentations and featured an invited talk by Paolo Rosso. ResT-UP was attended by about fifty representatives of academic and industrial organisations
Creating a platform for navigating verbo-visual art collections
No full textThe “Verbo-Visual Virtual” (V.V.V.) project aims at developing a new web portal to unify and make available the Verbo-Visual collections of two museums, namely the portion of “Archivio Nuova Scrittura” (ANS) owned by the Museum of Modern and Contemporary Art of Trento and Rovereto (MART) and the part owned by the Museum for Modern and Contemporary Art of Bolzano (Museion)
Sentiment Analysis for the Humanities: the Case of Historical Texts
No full textIn this paper we investigate the possibility to adapt existing lexical resources and Natural Language Processing (NLP) methodologies related to Sentiment Analysis (SA) to the historical domain. The corpus used for our research is the complete corpus of writings of Alcide De Gasperi (1881-1954), one of the founders of the Italian Republic, made of about 3,000 documents and 3,000,000 words. Using this corpus as a case study, two experiments have been carried out and are described in this paper. The aim of these experiments were the evaluation of i) how existing lexical resources for SA perform in the historical domain and ii) the feasibility of a sentiment annotation task for historical texts either for expert annotators and for crowdsourcing workers
Novel Event Detection and Classification for Historical Texts
Full text linkEvent processing is an active area of research in the Natural Language Processing community but resources and automatic systems developed so far have mainly addressed contemporary texts. However, the recognition and elaboration of events is a crucial step when dealing with historical texts particularly in the current era of massive digitization of historical sources: research in this domain can lead to the development of methodologies and tools that can assist historians in enhancing their work, while having an impact also on the field of Natural Language Processing. Our work aims at shedding light on the complex concept of events when dealing with historical texts. More specifically, we introduce new annotation guidelines for event mentions and types, categorised into 22 classes. Then, we annotate a historical corpus accordingly, and compare two approaches for automatic event detection and classification following this novel scheme. We believe that this work can foster research in a field of inquiry so far underestimated in the area of Temporal Information Processing. To this end, we release new annotation guidelines, a corpus and new models for automatic annotation
InriaFBK Drawing Attention to Offensive Language at Germeval2019
No full textIn 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
Full text linkThe 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
The CompWHoB Corpus: Computational Construction, Annotation and Linguistic Analysis of the White House Press Briefings Corpus
No full textVariations on the Author
Full text link“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
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