Browsing by Author "Ronzano, Francesco"

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  • Fisas Elizalde, Beatriz; Ronzano, Francesco; Saggion, Horacio (ELRA (European Language Resources Association), 2016)
    Scientific literature records the research process with a standardized structure and provides the clues to track the progress in a scientific field. Understanding its internal structure and content is of paramount importance ...
  • Saggion, Horacio; Ronzano, Francesco (Springer, 2016)
    Considering the recent substantial growth of the publication rate of scientific results, nowadays the availability of effective and automated techniques to summarize scientific articles is of utmost importance. In this ...
  • Espinosa-Anke, Luis; Carlini, Roberto; Saggion, Horacio; Ronzano, Francesco (European Language Resources Association, 2016)
    We present DEFEXT, an easy to use semi supervised Definition Extraction Tool. DEFEXT is designed to extract from a target corpus those textual fragments where a term is explicitly mentioned together with its core features, ...
  • Leis Machin, Angela; Ronzano, Francesco; Mayer, Miguel Ángel, 1960-; Furlong, Laura I., 1971-; Sanz, Ferran (JMIR Publications, 2019)
    Background: Mental disorders have become a major concern in public health, and they are one of the main causes of the overall disease burden worldwide. Social media platforms allow us to observe the activities, thoughts, ...
  • Barbieri, Francesco; Ronzano, Francesco; Saggion, Horacio (Universitat Pompeu Fabra, 2016)
  • Barbieri, Francesco; Kruszewski, German; Ronzano, Francesco; Saggion, Horacio (ACM Association for Computer Machinery, 2016)
    Choosing the right emoji to visually complement or con- dense the meaning of a message has become part of our daily life. Emojis are pictures, which are naturally combined with plain text, thus creating a new form of ...
  • Espinosa-Anke, Luis; Ronzano, Francesco; Saggion, Horacio (Springer, 2015)
    Hypernym extraction is a crucial task for semantically motivated NLP tasks such as taxonomy and ontology learning, textual entailment or paraphrase identification. In this paper, we describe an approach to hypernym extraction ...
  • Ronzano, Francesco; Saggion, Horacio (Springer, 2016)
    During the last decade the amount of scientific articles available online has substantially grown in parallel with the adoption of the Open Access publishing model. Nowadays researchers, as well as any other interested ...
  • Ronzano, Francesco; Freire, Ana; Sáez-Trumper, Diego; Saggion, Horacio (CEUR Workshop Proceedings, 2016)
    The World Wide Web has become the hugest repository ever for scientific publications and it continues to increase at an unprecedented rate. Nevertheless, this information overload makes the exploration of this content a ...
  • Accuosto, Pablo; Ronzano, Francesco; Ferrés, Daniel; Saggion, Horacio (ACM Association for Computer Machinery, 2017)
    We present a system to mine and visualize collections of scientific documents by semantically browsing information extracted from single publications or aggregated throughout corpora of articles. The text mining tool ...
  • Barbieri, Francesco; Ballesteros, Miguel; Ronzano, Francesco; Saggion, Horacio (ACL (Association for Computational Linguistics), 2018)
    Emojis are small images that are commonly included in social media text messages. The combination of visual and textual content in the same message builds up a modern way of communication, that automatic systems are not ...
  • Saggion, Horacio; Ronzano, Francesco; Accuosto, Pablo; Ferrés, Daniel (CEUR Workshop Proceedings, 2017)
    In the current online Open Science context, scientific datasets and tools for deep text analysis, visualization and exploitation play a major role.We present a system for deep analysis and annotation of scientific text ...
  • Ferrés, Daniel; Saggion, Horacio; Ronzano, Francesco; Bravo Serrano, Àlex, 1984- (ACL (Association for Computational Linguistics), 2018)
    The availability of automated approaches and tools to extract structured textual content from PDF articles is essential to enable scientific text mining. This paper describes and evaluates the PDFdigest tool, a PDF-to-XML ...
  • Barbieri, Francesco; Camacho-Collados, Jose; Ronzano, Francesco; Espinosa-Anke, Luis; Ballesteros, Miguel; Basile, Valerio; Patti, Viviana; Saggion, Horacio (ACL (Association for Computational Linguistics), 2018)
    This paper describes the results of the first shared task on Multilingual Emoji Prediction, organized as part of SemEval 2018. Given the text of a tweet, the task consists of predicting the most likely emoji to be used ...
  • Ronzano, Francesco; AbuRa’ed, Ahmed; Espinosa-Anke, Luis; Saggion, Horacio (ACL (Association for Computational Linguistics), 2016)
    This paper presents the participation of the TALN team in the Complex Word Identification Task of SemEval-2016 (Task 11). The purpose of the task was to determine if a word in a given sentence can be judged as complex or ...
  • Espinosa-Anke, Luis; Saggion, Horacio; Ronzano, Francesco (ACL (Association for Computational Linguistics), 2015)
    This paper describes the system submitted by the TALN-UPF team to SEMEVAL Task 17 (Taxonomy Extraction Evaluation). We present a method for automatically learning a taxonomy from a flat terminology, which benefits from a ...
  • Saggion, Horacio; AbuRa’ed, Ahmed; Ronzano, Francesco (CEUR Workshop Proceedings, 2016)
    In order to cope with the growing number of relevant scientific publications to consider at a given time, automatic text summarization is a useful technique. However, summarizing scientific papers poses important challenges ...
  • Espinosa-Anke, Luis; Ronzano, Francesco; Saggion, Horacio (ACL (Association for Computational Linguistics), 2015)
    Definition Extraction (DE) is the task to extract textual definitions from naturally occurring text. It is gaining popularity as a prior step for constructing taxonomies, ontologies, automatic glossaries or dictionary ...
  • Barbieri, Francesco; Ronzano, Francesco; Saggion, Horacio (ELRA (European Language Resources Association), 2016)
    Emojis allow us to describe objects, situations and even feelings with small images, providing a visual and quick way to communicate. In this paper, we analyse emojis used in Twitter with distributional semantic models. ...