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Browsing Congressos (Departament de Tecnologies de la Informació i les Comunicacions) by Author "Espinosa-Anke, Luis"

Browsing Congressos (Departament de Tecnologies de la Informació i les Comunicacions) 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; 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 (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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Camacho-Collados, Jose; Delli Bovi, Claudio; Espinosa-Anke, Luis; Oramas, Sergio; Pasini, Tommaso; Santus, Enrico; Shwartz, Vered; Navigli, Roberto; Saggion, Horacio (ACL (Association for Computational Linguistics), 2018)
    This paper describes the SemEval 2018 Shared Task on Hypernym Discovery. We put forward this task as a complementary benchmark for modeling hypernymy, a problem which has traditionally been cast as a binary ...
  • 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. ...

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