The Initial Study of Term Vector Generation Methods for News Summarization
dc.contributor.author | Rott Michal | cs |
dc.date.accessioned | 2018-09-25T12:03:25Z | |
dc.date.available | 2018-09-25T12:03:25Z | |
dc.date.issued | 2015 | cs |
dc.format.extent | 8 | cs |
dc.identifier.isbn | 978-80-263-0974-1 | cs |
dc.identifier.issn | 2336-4289 | cs |
dc.identifier.uri | https://dspace.tul.cz/handle/15240/29562 | |
dc.language.iso | eng | cs |
dc.publisher | Tribun EU | cs |
dc.publisher.city | Česká Republika | cs |
dc.relation.ispartofseries | 1 | cs |
dc.subject | latent sematic analysis | cs |
dc.subject | random Manhattan indexing | cs |
dc.subject | skip-gram model | cs |
dc.subject | vector space model | cs |
dc.subject | automatic summarization | cs |
dc.title | The Initial Study of Term Vector Generation Methods for News Summarization | cs |
local.citation.epage | 23-30 | cs |
local.citation.spage | 23-30 | cs |
local.identifier.publikace | 2978 |