2 research outputs found
Finding and expanding hypernymic relations in the music domain
Comunicació presentada a la 19th International Conference of the Catalan Association for Artificial Intelligence (CCIA) celebrada del 19 al 21 d'octubre de 2016 a Barcelona, Espanya.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 Information Retrieval
or Machine Translation. Two main trends exist in the construction and exploitation
of these resources: On one hand, general purpose taxonomies like Word-
Net, and on the other, domain-specific databases such as the CheBi chemical ontology,
or MusicBrainz in the music domain. In both cases these are based on finding
correct hypernymic relations between pairs of concepts. In this paper, we propose
a generic framework for hypernym discovery, based on exploiting linear relations
between (term, hypernym) pairs in Wikidata, and apply it to the domain of music.
Our promising results, based on several metrics used in Information Retrieval,
show that in several cases we are able to discover the correct hypernym for a given
novel term.This work is partially funded by the Spanish Ministry of Economy and Competitiveness
under the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502), and
under the TUNER project (TIN2015-65308-C5-5-R, MINECO/FEDER, UE). We also
acknowledge support from Dr. Inventor (FP7-ICT-2013.8.1611383)
Finding and expanding hypernymic relations in the music domain
Comunicació presentada a la 19th International Conference of the Catalan Association for Artificial Intelligence (CCIA) celebrada del 19 al 21 d'octubre de 2016 a Barcelona, Espanya.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 Information Retrieval
or Machine Translation. Two main trends exist in the construction and exploitation
of these resources: On one hand, general purpose taxonomies like Word-
Net, and on the other, domain-specific databases such as the CheBi chemical ontology,
or MusicBrainz in the music domain. In both cases these are based on finding
correct hypernymic relations between pairs of concepts. In this paper, we propose
a generic framework for hypernym discovery, based on exploiting linear relations
between (term, hypernym) pairs in Wikidata, and apply it to the domain of music.
Our promising results, based on several metrics used in Information Retrieval,
show that in several cases we are able to discover the correct hypernym for a given
novel term.This work is partially funded by the Spanish Ministry of Economy and Competitiveness
under the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502), and
under the TUNER project (TIN2015-65308-C5-5-R, MINECO/FEDER, UE). We also
acknowledge support from Dr. Inventor (FP7-ICT-2013.8.1611383)