Browsing by Author "Saggion, Horacio"

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  • Štajner , Sanja; Béchara, Hannah; Saggion, Horacio (ACL (Association for Computational Linguistics), 2015)
    In the last few years, there has been a growing number of studies addressing the Text Simplification (TS) task as a monolingual machine translation (MT) problem which translates from ‘original’ to ‘simple’ language. ...
  • 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 ...
  • Marimon, Montserrat; Ferrés, Daniel; Saggion, Horacio (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2015)
    La simplificación textual consiste en reducir la complejidad léxica y sintáctica de documentos con el fin de mejorar su legibilidad y comprensibilidad. En este trabajo se presenta una demostración de un sistema on-line de ...
  • Saggion, Horacio; Ferrés, Daniel; Sevens, Leen; Schuurman, Ineke; Ripollés, Marta; Rodríguez, Olga (ACM Association for Computer Machinery, 2017)
    The Able to Include project aims at improving the living conditions of people with intellectual or developmental disabilities (IDD) in key areas of society. One of its focus points concerns improving the integration of ...
  • Ferrés, Daniel; Saggion, Horacio; Gómez Guinovart, Xavier (2017)
    Lexical Simplification is the task of reducing the lexical complexity of textual documents by replacing difficult words with easier to read (or understand) expressions while preserving the original meaning. The ...
  • 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; Saggion, Horacio (Springer, 2014)
    Definition Extraction (DE) is the task to automatically identify definitional knowledge in naturally-occurring text. This task has applications in ontology generation, glossary creation or question answering. Although the ...
  • Barbieri, Francesco; Ballesteros, Miguel; Saggion, Horacio (ACL (Association for Computational Linguistics), 2017)
    Emojis are ideograms which are naturally combined with plain text to visually complement or condense the meaning of a message. Despite being widely used in social media, their underlying semantics have received little ...
  • Stajner, Sanja; Drndarevic, Biljana; Saggion, Horacio (Centro de Investigación en Computación, 2013)
    This study addresses the automatic simplification of texts in Spanish in order to make them more accessible to people with cognitive disabilities. A corpus analysis of original and manually simplified news articles was ...
  • 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, ...
  • Espinosa-Anke, Luis; Saggion, Horacio; Delli Bovi, Claudio (CEUR, 2015)
    De nition Extraction is the task to identify snippets of free text in which/na term is de ned. While lexicographic studies have proposed di erent de nition typologies and categories, most NLP tasks aimed at revealing word ...
  • Saggion, Horacio; Espinosa-Anke, Luis (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2014)
    La extracción automática de defniciones (ED) es una tarea que consiste/nen identifcar defniciones en texto. Este artículo presenta un método para la identi-/nficación de definiciones para el catalán en el dominio enciclopédico, ...
  • Rello, Luz (Universitat Pompeu Fabra, 2014-06-27)
    Worldwide, 10% of the population has dyslexia, a cognitive disability that reduces readability and comprehension of written information. The goal of this thesis is to make text more accessible for people with dyslexia by ...
  • Oramas, Sergio; Espinosa-Anke, Luis; Sordo, Mohamed; Saggion, Horacio; Serra, Xavier (European Language Resources Association, 2016)
    In this paper we present a gold standard dataset for Entity Linking (EL) in the Music Domain. It contains thousands of musical named entities such as Artist, Song or Record Label, which have been automatically annotated ...
  • Espinosa-Anke, Luis; Oramas, Sergio; Saggion, Horacio; Serra, Xavier (Springer, 2017)
    Music consumption habits as well as the Music market have changed dramatically due to the increasing popularity of digital audio and streaming services. Today, users are closer than ever to a vast number of songs, albums, ...
  • Barbieri, Francesco; Ronzano, Francesco; Saggion, Horacio (Universitat Pompeu Fabra, 2016)
  • AbuRa’ed, Ahmed; Chiruzzo, Luis; Saggion, Horacio (ELRA (European Language Resources Association), 2018)
    The identification of explicit and implicit citations to a given reference paper is important for numerous scientific text mining activities such as citation purpose identification, scientific opinion mining, and scientific ...
  • Oramas, Sergio; Espinosa-Anke, Luis; Lawlor, Aonghus; Serra, Xavier; Saggion, Horacio (International Society for Music Information Retrieval (ISMIR), 2016)
    In this paper, we explore a large multimodal dataset of about 65k albums constructed from a combination of Amazon customer reviews, MusicBrainz metadata and AcousticBrainz audio descriptors. Review texts are further ...
  • Barbieri, Francesco; Marujo, Luís; Karuturi, Pradeep; Brendel, William; Saggion, Horacio (CEUR Workshop Proceedings, 2018)
    The frequent use of Emojis on social media platforms has created a new form of multimodal social interaction. Developing methods for the study and representation of emoji semantics helps to improve future multimodal ...
  • Espinosa-Anke, Luis; Camacho-Collados, Jose; Rodríguez Fernández, Sara; Saggion, Horacio; Wanner, Leo (COLING, 2016)
    WordNet is probably the best known lexical resource in Natural Language Processing. While it/nis widely regarded as a high quality repository of concepts and semantic relations, updating and/nextending it manually is costly. ...