Browsing by Author "Espinosa-Anke, Luis"

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  • Oramas, Sergio; Sordo, Mohamed; Espinosa-Anke, Luis (ACM Association for Computer Machinery, 2015)
    This paper presents a rule based approach to extracting relations from unstructured music text sources. The proposed approach identifies and disambiguates musical entities in text, such as songs, bands, persons, albums and ...
  • Oramas, Sergio; Sordo, Mohamed; Espinosa-Anke, Luis; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2015)
    This paper describes and evaluates a method for computing artist similarity from a set of artist biographies. The/nproposed method aims at leveraging semantic information present in these biographies, and can be divided ...
  • 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 ...
  • Espinosa-Anke, Luis (Elsevier, 2013)
    This paper proposes an approach to classify definitions as they appear in popularizing texts. Following the function theory of/nlexicography (Bergenholtz and Tarp, 2003), we propose a user-centered classification that ...
  • Pérez Almendros, Carla; Espinosa-Anke, Luis; Torres Valdés, Rosa (Elsevier, 2013)
    We present a corpus-based study of the Corporate Social Responsibility Reports issued by companies who operate in the Spanish Stock Market IBEX 35. Natural Language Processing methods are used for extracting informative ...
  • 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, ...
  • 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, ...
  • Rodríguez Fernández, Sara; Carlini, Roberto; Espinosa-Anke, Luis; Wanner, Leo (ELRA (European Language Resources Association), 2016)
    Collocations such as heavy rain or make [a] decision, are combinations of two elements where one (the base) is freely chosen, while the/nchoice of the other (collocate) is restricted, depending on the base. Collocations ...
  • 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 ...
  • 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. ...
  • Sordo, Mohamed; Oramas, Sergio; Espinosa-Anke, Luis (Springer, 2015)
    This paper presents a method for the generation of struc- tured data sources for music recommendation using information extracted from unstructured text sources. The proposed method identi es entities in text that are ...
  • 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 ...
  • Oramas, Sergio; Espinosa-Anke, Luis; Sordo, Mohamed; Saggion, Horacio; Serra, Xavier (Elsevier, 2016)
    The rate at which information about music is being created and shared on the web is growing exponentially. However, the challenge of making sense of all this data remains an open problem. In this paper, we present and ...
  • Barbieri, Francesco; Espinosa-Anke, Luis; Camacho-Collados, Jose; Schockaert, Steven; Saggion, Horacio (ACL (Association for Computational Linguistics), 2018)
    Human language has evolved towards newer forms of communication such as social media, where emojis (i.e., ideograms bearing a visual meaning) play a key role. While there is an increasing body of work aimed at ...
  • Oramas, Sergio; Espinosa-Anke, Luis (Universitat Pompeu Fabra, 2016-01)
    Knowledge Base automatically extracted from songfacts.com following the methodology described in the following paper: Sergio Oramas, Luis Espinosa-Anke, Mohamed Sordo, Horacio Saggion, Xavier Serra, Information extraction ...
  • Espinosa-Anke, Luis (Universitat Pompeu Fabra, 2017-07-14)
    Natural Language Processing (NLP) is the branch of Artificial Intelligence aimed at understanding and generating language as close as possible to a human’s. Today, NLP benefits substantially of large amounts of unnanotated ...