Biblio
] Filters: Author is Espinosa-Anke, L. [Clear All Filters]
(2015). Extracting Relations from Unstructured Text Sources for Music Recommendation.
20th International Conference on Applications of Natural Language to Information Systems. Abstract
(2015). A Rule-Based Approach to Extracting Relations from Music Tidbits.
2nd Workshop on Knowledge Extraction from Text, WWW 2015. Abstract
(2015). A Semantic-based Approach for Artist Similarity.
16th International Society for Music Information Retrieval Conference. 100-106. Abstract
(2016). Exploring Customer Reviews for Music Genre Classification and Evolutionary Studies.
17th International Society for Music Information Retrieval Conference (ISMIR 2016). 150-156. Abstract
(2016). Information Extraction for Knowledge Base Construction in the Music Domain.
Data & Knowledge Engineering. 106, 70-83. Abstract
(2016). Finding and Expanding Hypernymic Relations in the Music Domain.
19th International Conference of the Catalan Association for Artificial Intelligence (CCIA). Abstract
(2016). ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain.
Language Resources and Evaluation Conference (LREC 2016). 3312-3317. Abstract
(2017). Open Knowledge Extraction Challenge 2017.
Extended Semantic Web Conference (ESWC 2017).
(2017). Open Knowledge Extraction Challenge 2017.
Extended Semantic Web Conference (ESWC 2017). Abstract
(2017). ELMDist: A vector space model with words and MusicBrainz entities.
Workshop on Semantic Deep Learning (SemDeep), collocated with ESWC 2017. Abstract
(2018). Natural Language Processing for Music Knowledge Discovery.
Journal of New Music Research. Abstract
