Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rajarshi Bhowmik"'
Autor:
Gerard de Melo, Rajarshi Bhowmik
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030624187
ISWC (1)
ISWC (1)
Despite their large-scale coverage, cross-domain knowledge graphs invariably suffer from inherent incompleteness and sparsity. Link prediction can alleviate this by inferring a target entity, given a source entity and a query relation. Recent embeddi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c418c3fa64c341bc5b830ea00ab9093
https://doi.org/10.1007/978-3-030-62419-4_3
https://doi.org/10.1007/978-3-030-62419-4_3
Autor:
Ahmet A. Akyamac, Rajarshi Bhowmik
Publikováno v:
ICDE
Free-form, unstructured and semi-structured textual data has become increasingly more prevalent in the telecommunications industry, with service and equipment providers alike. Some typical examples include textual data from customer care tickets, mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::703b631f0f04e1f65f1184ab707e0789
https://doi.org/10.1109/icde.2019.00200
https://doi.org/10.1109/icde.2019.00200
Autor:
Rajarshi Bhowmik, Gerard de Melo
Publikováno v:
WWW
Despite being vast repositories of factual information, cross-domain knowledge graphs, such as Wikidata and the Google Knowledge Graph, only sparsely provide short synoptic descriptions for entities. Such descriptions that briefly identify the most d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec9078ca9819442a5c40a5a5f87b10d0
Autor:
Gerard de Melo, Rajarshi Bhowmik
Publikováno v:
ACL (1)
While large-scale knowledge graphs provide vast amounts of structured facts about entities, a short textual description can often be useful to succinctly characterize an entity and its type. Unfortunately, many knowledge graph entities lack such text
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6eb3350d47012c540f66e9373390b02c
https://doi.org/10.18653/v1/p18-1081
https://doi.org/10.18653/v1/p18-1081