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Visualitza Documents OpenAIRE (Open Access Infrastructure for Research in Europe) per autor "Saggion, Horacio"

Visualitza Documents OpenAIRE (Open Access Infrastructure for Research in Europe) per autor "Saggion, Horacio"

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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 ...
  • 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; 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 ...
  • Stajner, Sanja; Drndarevic, Biljana; Saggion, Horacio (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; 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. ...
  • Espinosa-Anke, Luis; Oramas, Sergio; Camacho-Collados, Jose; Saggion, Horacio (2016)
    Lexical taxonomies are tree or directed acyclic graph-like structures where each node represents a concept and each edge encodes a binary hypernymic (is-a) relation. These lexical resources are useful for AI tasks like ...
  • 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 ...
  • Ferrés, Daniel; AbuRa’ed, Ahmed; Saggion, Horacio (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2017)
    Morphological Generation is the task of producing the appropiate in- flected form of a lemma in a given textual context and according to some morphological features. This paper describes and evaluates wide-coverage ...
  • Espinosa-Anke, Luis; Camacho-Collados, Jose; Delli Bovi, Claudio; Saggion, Horacio (ACL (Association for Computational Linguistics), 2016)
    Lexical taxonomies are graph-like hierarchical structures that provide a formal representation of knowledge. Most knowledge graphs to date rely on is-a (hypernymic) relations as the backbone of their semantic structure. ...
  • 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. ...
  • Ferrés, Daniel; Marimon, Montserrat; Saggion, Horacio; AbuRa’ed, Ahmed (Springer, 2016)
    We present a text simplifier for English that has been built with open source software and has both lexical and syntactic simplification capabilities. The lexical simplifier uses a vector space model approach to obtain the ...