Matches in SemOpenAlex for { <https://semopenalex.org/work/W2533660611> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2533660611 abstract "Vector representations of words learned from large scale background texts can be used as useful features in natural language processing and machine learning applications. Word representations in previous works were often trained on large-scale unlabeled texts. However, in some scenarios, large scale background texts are not available. Therefore, in this paper, we propose a novel word representation model based on maximum-margin to train word representation using small set of background texts. Experimental results show many advantages of our method." @default.
- W2533660611 created "2016-10-28" @default.
- W2533660611 creator A5035224017 @default.
- W2533660611 creator A5036952846 @default.
- W2533660611 creator A5046871248 @default.
- W2533660611 creator A5082868235 @default.
- W2533660611 date "2016-01-01" @default.
- W2533660611 modified "2023-09-27" @default.
- W2533660611 title "Word Representation on Small Background Texts" @default.
- W2533660611 cites W1514415280 @default.
- W2533660611 cites W1850865022 @default.
- W2533660611 cites W1993457917 @default.
- W2533660611 cites W2061922307 @default.
- W2533660611 cites W2091812280 @default.
- W2533660611 cites W2097960255 @default.
- W2533660611 cites W2166474856 @default.
- W2533660611 cites W2250539671 @default.
- W2533660611 cites W2251771443 @default.
- W2533660611 doi "https://doi.org/10.1007/978-981-10-2993-6_12" @default.
- W2533660611 hasPublicationYear "2016" @default.
- W2533660611 type Work @default.
- W2533660611 sameAs 2533660611 @default.
- W2533660611 citedByCount "1" @default.
- W2533660611 countsByYear W25336606112018 @default.
- W2533660611 crossrefType "book-chapter" @default.
- W2533660611 hasAuthorship W2533660611A5035224017 @default.
- W2533660611 hasAuthorship W2533660611A5036952846 @default.
- W2533660611 hasAuthorship W2533660611A5046871248 @default.
- W2533660611 hasAuthorship W2533660611A5082868235 @default.
- W2533660611 hasConcept C119857082 @default.
- W2533660611 hasConcept C121332964 @default.
- W2533660611 hasConcept C138885662 @default.
- W2533660611 hasConcept C154945302 @default.
- W2533660611 hasConcept C177264268 @default.
- W2533660611 hasConcept C17744445 @default.
- W2533660611 hasConcept C199360897 @default.
- W2533660611 hasConcept C199539241 @default.
- W2533660611 hasConcept C204321447 @default.
- W2533660611 hasConcept C2776359362 @default.
- W2533660611 hasConcept C2778755073 @default.
- W2533660611 hasConcept C41008148 @default.
- W2533660611 hasConcept C41895202 @default.
- W2533660611 hasConcept C62520636 @default.
- W2533660611 hasConcept C774472 @default.
- W2533660611 hasConcept C90805587 @default.
- W2533660611 hasConcept C94625758 @default.
- W2533660611 hasConceptScore W2533660611C119857082 @default.
- W2533660611 hasConceptScore W2533660611C121332964 @default.
- W2533660611 hasConceptScore W2533660611C138885662 @default.
- W2533660611 hasConceptScore W2533660611C154945302 @default.
- W2533660611 hasConceptScore W2533660611C177264268 @default.
- W2533660611 hasConceptScore W2533660611C17744445 @default.
- W2533660611 hasConceptScore W2533660611C199360897 @default.
- W2533660611 hasConceptScore W2533660611C199539241 @default.
- W2533660611 hasConceptScore W2533660611C204321447 @default.
- W2533660611 hasConceptScore W2533660611C2776359362 @default.
- W2533660611 hasConceptScore W2533660611C2778755073 @default.
- W2533660611 hasConceptScore W2533660611C41008148 @default.
- W2533660611 hasConceptScore W2533660611C41895202 @default.
- W2533660611 hasConceptScore W2533660611C62520636 @default.
- W2533660611 hasConceptScore W2533660611C774472 @default.
- W2533660611 hasConceptScore W2533660611C90805587 @default.
- W2533660611 hasConceptScore W2533660611C94625758 @default.
- W2533660611 hasLocation W25336606111 @default.
- W2533660611 hasOpenAccess W2533660611 @default.
- W2533660611 hasPrimaryLocation W25336606111 @default.
- W2533660611 hasRelatedWork W2068257033 @default.
- W2533660611 hasRelatedWork W2340381866 @default.
- W2533660611 hasRelatedWork W2404244834 @default.
- W2533660611 hasRelatedWork W2606689249 @default.
- W2533660611 hasRelatedWork W2618134747 @default.
- W2533660611 hasRelatedWork W2749027244 @default.
- W2533660611 hasRelatedWork W2788784374 @default.
- W2533660611 hasRelatedWork W2894420350 @default.
- W2533660611 hasRelatedWork W2916830323 @default.
- W2533660611 hasRelatedWork W2962733557 @default.
- W2533660611 hasRelatedWork W2966800375 @default.
- W2533660611 hasRelatedWork W2998595745 @default.
- W2533660611 hasRelatedWork W3036892710 @default.
- W2533660611 hasRelatedWork W3040983797 @default.
- W2533660611 hasRelatedWork W3089606081 @default.
- W2533660611 hasRelatedWork W3104957432 @default.
- W2533660611 hasRelatedWork W3108387573 @default.
- W2533660611 hasRelatedWork W3113462843 @default.
- W2533660611 hasRelatedWork W3128465392 @default.
- W2533660611 hasRelatedWork W2795060791 @default.
- W2533660611 isParatext "false" @default.
- W2533660611 isRetracted "false" @default.
- W2533660611 magId "2533660611" @default.
- W2533660611 workType "book-chapter" @default.