Matches in SemOpenAlex for { <https://semopenalex.org/work/W6869908> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W6869908 abstract "We present novel algorithms for learning structured predictors from instances with multiple labels in the presence of noise. The proposed algorithms improve performance on two standard NLP tasks when we have a small amount of training data (low quantity) and when the labels are noisy (low quality). In these settings, the methods improve performance over using a single label, in some cases exceeding performance using gold labels. Our methods could be used in a semi-supervised setting, where a limited amount of labeled data could be combined with a rule based automatic labeling of unlabeled data with multiple possible labels." @default.
- W6869908 created "2016-06-24" @default.
- W6869908 creator A5006419939 @default.
- W6869908 creator A5024437840 @default.
- W6869908 creator A5033696194 @default.
- W6869908 date "2009-01-01" @default.
- W6869908 modified "2023-09-23" @default.
- W6869908 title "Sequence Learning from Data with Multiple Labels" @default.
- W6869908 cites W2074950806 @default.
- W6869908 cites W2118778987 @default.
- W6869908 cites W2134134392 @default.
- W6869908 cites W2141416357 @default.
- W6869908 cites W2144372981 @default.
- W6869908 cites W2144578941 @default.
- W6869908 cites W2146241755 @default.
- W6869908 cites W2147880316 @default.
- W6869908 cites W2151296343 @default.
- W6869908 cites W2165503745 @default.
- W6869908 cites W2165744911 @default.
- W6869908 cites W2186188534 @default.
- W6869908 cites W2282396980 @default.
- W6869908 cites W3029645440 @default.
- W6869908 hasPublicationYear "2009" @default.
- W6869908 type Work @default.
- W6869908 sameAs 6869908 @default.
- W6869908 citedByCount "21" @default.
- W6869908 countsByYear W68699082013 @default.
- W6869908 countsByYear W68699082014 @default.
- W6869908 countsByYear W68699082015 @default.
- W6869908 countsByYear W68699082016 @default.
- W6869908 countsByYear W68699082017 @default.
- W6869908 countsByYear W68699082018 @default.
- W6869908 countsByYear W68699082019 @default.
- W6869908 countsByYear W68699082020 @default.
- W6869908 crossrefType "journal-article" @default.
- W6869908 hasAuthorship W6869908A5006419939 @default.
- W6869908 hasAuthorship W6869908A5024437840 @default.
- W6869908 hasAuthorship W6869908A5033696194 @default.
- W6869908 hasConcept C115961682 @default.
- W6869908 hasConcept C119857082 @default.
- W6869908 hasConcept C153180895 @default.
- W6869908 hasConcept C154945302 @default.
- W6869908 hasConcept C162324750 @default.
- W6869908 hasConcept C187736073 @default.
- W6869908 hasConcept C2776145971 @default.
- W6869908 hasConcept C2778112365 @default.
- W6869908 hasConcept C2780451532 @default.
- W6869908 hasConcept C35639132 @default.
- W6869908 hasConcept C41008148 @default.
- W6869908 hasConcept C51632099 @default.
- W6869908 hasConcept C54355233 @default.
- W6869908 hasConcept C58973888 @default.
- W6869908 hasConcept C86803240 @default.
- W6869908 hasConcept C99498987 @default.
- W6869908 hasConceptScore W6869908C115961682 @default.
- W6869908 hasConceptScore W6869908C119857082 @default.
- W6869908 hasConceptScore W6869908C153180895 @default.
- W6869908 hasConceptScore W6869908C154945302 @default.
- W6869908 hasConceptScore W6869908C162324750 @default.
- W6869908 hasConceptScore W6869908C187736073 @default.
- W6869908 hasConceptScore W6869908C2776145971 @default.
- W6869908 hasConceptScore W6869908C2778112365 @default.
- W6869908 hasConceptScore W6869908C2780451532 @default.
- W6869908 hasConceptScore W6869908C35639132 @default.
- W6869908 hasConceptScore W6869908C41008148 @default.
- W6869908 hasConceptScore W6869908C51632099 @default.
- W6869908 hasConceptScore W6869908C54355233 @default.
- W6869908 hasConceptScore W6869908C58973888 @default.
- W6869908 hasConceptScore W6869908C86803240 @default.
- W6869908 hasConceptScore W6869908C99498987 @default.
- W6869908 hasOpenAccess W6869908 @default.
- W6869908 hasRelatedWork W181643614 @default.
- W6869908 hasRelatedWork W194033037 @default.
- W6869908 hasRelatedWork W1970381522 @default.
- W6869908 hasRelatedWork W1978341344 @default.
- W6869908 hasRelatedWork W2049633694 @default.
- W6869908 hasRelatedWork W2112511942 @default.
- W6869908 hasRelatedWork W2116410915 @default.
- W6869908 hasRelatedWork W2143458716 @default.
- W6869908 hasRelatedWork W2144372981 @default.
- W6869908 hasRelatedWork W2144578941 @default.
- W6869908 hasRelatedWork W2147880316 @default.
- W6869908 hasRelatedWork W2151942821 @default.
- W6869908 hasRelatedWork W2156064360 @default.
- W6869908 hasRelatedWork W2296283641 @default.
- W6869908 hasRelatedWork W2792006136 @default.
- W6869908 hasRelatedWork W2902557560 @default.
- W6869908 hasRelatedWork W3005731330 @default.
- W6869908 hasRelatedWork W3127003832 @default.
- W6869908 hasRelatedWork W47641349 @default.
- W6869908 hasRelatedWork W9014458 @default.
- W6869908 isParatext "false" @default.
- W6869908 isRetracted "false" @default.
- W6869908 magId "6869908" @default.
- W6869908 workType "article" @default.