Biblio

Export 5 results:
Sort by: [ Author (Asc)] Title Type Year
Filters: Author is Saggion, H.  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
E
Espinosa-Anke, L., Oramas S., Saggion H., & Serra X. (2017).  ELMDist: A vector space model with words and MusicBrainz entities. Workshop on Semantic Deep Learning (SemDeep), collocated with ESWC 2017. Abstract
Espinosa-Anke, L., Oramas S., Camacho-Collados J., & Saggion H. (2016).  Finding and Expanding Hypernymic Relations in the Music Domain. 19th International Conference of the Catalan Association for Artificial Intelligence (CCIA). Abstract
application/pdf iconCCIA16.pdf
O
Oramas, S., Espinosa-Anke L., Sordo M., Saggion H., & Serra X. (2016).  ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain. Language Resources and Evaluation Conference (LREC 2016). 3312-3317. Abstract
Oramas, S., Espinosa-Anke L., Lawlor A., Serra X., & Saggion H. (2016).  Exploring Customer Reviews for Music Genre Classification and Evolutionary Studies. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 150-156. Abstract
Oramas, S., Espinosa-Anke L., Sordo M., Saggion H., & Serra X. (2016).  Information Extraction for Knowledge Base Construction in the Music Domain. Data & Knowledge Engineering. 106, 70-83. Abstract
intranet