Matches in SemOpenAlex for { <https://semopenalex.org/work/W2148249912> ?p ?o ?g. }
Showing items 1 to 62 of
62
with 100 items per page.
- W2148249912 endingPage "355" @default.
- W2148249912 startingPage "344" @default.
- W2148249912 abstract "Distant supervision (DS) for relation extraction suffers from the noisy labeling problem. Most solutions try to model the noisy instances in the form of multi-instance learning. However, in the non-noisy instances, there may be noisy features which would harm the extraction model. In this paper, we employ a novel approach to address this problem by exploring distinctive features and assigning distinctive features more weight than the noisy ones. We make use of all the training data (both the labeled part that satisfies the DS assumption and the part that does not), and then employ an unsupervised method by topic model to discover the distribution of features to latent relations. At last, we compute the distinctiveness of features by using the obtained feature-relation distribution, and assign features weights based on their distinctiveness to train the extractor. Experiments show that the approach outperforms the baseline methods in both the held-out evaluation and the manual evaluation significantly." @default.
- W2148249912 created "2016-06-24" @default.
- W2148249912 creator A5007102035 @default.
- W2148249912 creator A5023363049 @default.
- W2148249912 creator A5024970317 @default.
- W2148249912 creator A5037558598 @default.
- W2148249912 creator A5042682579 @default.
- W2148249912 date "2013-01-01" @default.
- W2148249912 modified "2023-09-26" @default.
- W2148249912 title "Exploring Distinctive Features in Distant Supervision for Relation Extraction" @default.
- W2148249912 cites W1604644367 @default.
- W2148249912 cites W1996430422 @default.
- W2148249912 cites W2009591769 @default.
- W2148249912 cites W2053238041 @default.
- W2148249912 cites W2096765155 @default.
- W2148249912 cites W2107598941 @default.
- W2148249912 cites W2146304342 @default.
- W2148249912 cites W2167435923 @default.
- W2148249912 cites W2171836785 @default.
- W2148249912 doi "https://doi.org/10.1007/978-3-642-45068-6_30" @default.
- W2148249912 hasPublicationYear "2013" @default.
- W2148249912 type Work @default.
- W2148249912 sameAs 2148249912 @default.
- W2148249912 citedByCount "1" @default.
- W2148249912 countsByYear W21482499122019 @default.
- W2148249912 crossrefType "book-chapter" @default.
- W2148249912 hasAuthorship W2148249912A5007102035 @default.
- W2148249912 hasAuthorship W2148249912A5023363049 @default.
- W2148249912 hasAuthorship W2148249912A5024970317 @default.
- W2148249912 hasAuthorship W2148249912A5037558598 @default.
- W2148249912 hasAuthorship W2148249912A5042682579 @default.
- W2148249912 hasConcept C124101348 @default.
- W2148249912 hasConcept C153604712 @default.
- W2148249912 hasConcept C154945302 @default.
- W2148249912 hasConcept C204321447 @default.
- W2148249912 hasConcept C25343380 @default.
- W2148249912 hasConcept C41008148 @default.
- W2148249912 hasConceptScore W2148249912C124101348 @default.
- W2148249912 hasConceptScore W2148249912C153604712 @default.
- W2148249912 hasConceptScore W2148249912C154945302 @default.
- W2148249912 hasConceptScore W2148249912C204321447 @default.
- W2148249912 hasConceptScore W2148249912C25343380 @default.
- W2148249912 hasConceptScore W2148249912C41008148 @default.
- W2148249912 hasLocation W21482499121 @default.
- W2148249912 hasOpenAccess W2148249912 @default.
- W2148249912 hasPrimaryLocation W21482499121 @default.
- W2148249912 hasRelatedWork W1515542156 @default.
- W2148249912 hasRelatedWork W2368651715 @default.
- W2148249912 hasRelatedWork W2528512298 @default.
- W2148249912 hasRelatedWork W2609844752 @default.
- W2148249912 hasRelatedWork W2766478297 @default.
- W2148249912 hasRelatedWork W2993873509 @default.
- W2148249912 hasRelatedWork W3002472320 @default.
- W2148249912 hasRelatedWork W3024538009 @default.
- W2148249912 hasRelatedWork W3107474891 @default.
- W2148249912 hasRelatedWork W3201556757 @default.
- W2148249912 isParatext "false" @default.
- W2148249912 isRetracted "false" @default.
- W2148249912 magId "2148249912" @default.
- W2148249912 workType "book-chapter" @default.