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Visualitza Congressos (Departament de Tecnologies de la Informació i les Comunicacions) per autor "Espinosa-Anke, Luis"

Visualitza Congressos (Departament de Tecnologies de la Informació i les Comunicacions) per autor "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; 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 ...
  • 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 (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. ...
  • Delli Bovi, Claudio; Espinosa-Anke, Luis; Navigli, Roberto (ACL (Association for Computational Linguistics), 2015)
    We present KB-UNIFY, a novel approach for integrating the output of different Open Information Extraction systems into a single unified and fully disambiguated knowledge repository. KB-UNIFY consists of three main steps: ...
  • Speck, René; Röder, Michael; Oramas, Sergio; Espinosa-Anke, Luis; Ngonga Ngomo, Axel-Cyrille (Springer, 2017)
    The Open Knowledge Extraction Challenge invites researchers and practitioners from academia as well as industry to compete to the aim of pushing further the state of the art of knowledge extraction from text for the Semantic ...
  • Rodríguez Fernández, Sara; Espinosa-Anke, Luis; Carlini, Roberto; Wanner, Leo (ACL (Association for Computational Linguistics), 2016)
    L2 learners often produce “ungrammatical” word combinations such as, e.g., *give a suggestion or *make a walk. This is because of the “collocationality” of one of their items (the base) that limits the acceptance of ...
  • 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 ...
  • Espinosa-Anke, Luis (INCOMA, 2013)
    Definition Extraction (DE) and terminology are contributing to help structuring the overwhelming amount of information available. This article presents KESSI (Knowledge Extraction System for Scientific/nInterviews), a ...
  • Barbieri, Francesco; Espinosa-Anke, Luis; Ballesteros, Miguel; Soler Company, Juan; Saggion, Horacio (ACL (Association for Computational Linguistics), 2017)
    Videogame streaming platforms have become a paramount example of noisy usergenerated text. These are websites where gaming is broadcasted, and allows interaction with viewers via integrated chatrooms. Probably the ...
  • 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 ...