Matches in SemOpenAlex for { <https://semopenalex.org/work/W2117808614> ?p ?o ?g. }
- W2117808614 endingPage "BII.S8933" @default.
- W2117808614 startingPage "BII.S8933" @default.
- W2117808614 abstract "This paper describes the National Research Council of Canada's submission to the 2011 i2b2 NLP challenge on the detection of emotions in suicide notes. In this task, each sentence of a suicide note is annotated with zero or more emotions, making it a multi-label sentence classification task. We employ two distinct large-margin models capable of handling multiple labels. The first uses one classifier per emotion, and is built to simplify label balance issues and to allow extremely fast development. This approach is very effective, scoring an F-measure of 55.22 and placing fourth in the competition, making it the best system that does not use web-derived statistics or re-annotated training data. Second, we present a latent sequence model, which learns to segment the sentence into a number of emotion regions. This model is intended to gracefully handle sentences that convey multiple thoughts and emotions. Preliminary work with the latent sequence model shows promise, resulting in comparable performance using fewer features." @default.
- W2117808614 created "2016-06-24" @default.
- W2117808614 creator A5012098743 @default.
- W2117808614 creator A5033684482 @default.
- W2117808614 creator A5048302740 @default.
- W2117808614 date "2012-01-01" @default.
- W2117808614 modified "2023-10-13" @default.
- W2117808614 title "Binary Classifiers and Latent Sequence Models for Emotion Detection in Suicide Notes" @default.
- W2117808614 cites W1509901816 @default.
- W2117808614 cites W1513398909 @default.
- W2117808614 cites W1894439685 @default.
- W2117808614 cites W1966797434 @default.
- W2117808614 cites W1989385699 @default.
- W2117808614 cites W2008652694 @default.
- W2117808614 cites W2040467972 @default.
- W2117808614 cites W2049633694 @default.
- W2117808614 cites W2052560757 @default.
- W2117808614 cites W2075718943 @default.
- W2117808614 cites W2097726431 @default.
- W2117808614 cites W2125098710 @default.
- W2117808614 cites W2132895695 @default.
- W2117808614 cites W2138260386 @default.
- W2117808614 cites W2141747195 @default.
- W2117808614 cites W2142623206 @default.
- W2117808614 cites W2146241755 @default.
- W2117808614 cites W2147196093 @default.
- W2117808614 cites W2149684865 @default.
- W2117808614 cites W2150617068 @default.
- W2117808614 cites W2156935079 @default.
- W2117808614 cites W2157205019 @default.
- W2117808614 cites W2158188757 @default.
- W2117808614 cites W2165966284 @default.
- W2117808614 cites W3129711340 @default.
- W2117808614 cites W70668482 @default.
- W2117808614 cites W180236776 @default.
- W2117808614 cites W2610328162 @default.
- W2117808614 cites W40061534 @default.
- W2117808614 doi "https://doi.org/10.4137/bii.s8933" @default.
- W2117808614 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3409480" @default.
- W2117808614 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22879771" @default.
- W2117808614 hasPublicationYear "2012" @default.
- W2117808614 type Work @default.
- W2117808614 sameAs 2117808614 @default.
- W2117808614 citedByCount "32" @default.
- W2117808614 countsByYear W21178086142012 @default.
- W2117808614 countsByYear W21178086142014 @default.
- W2117808614 countsByYear W21178086142015 @default.
- W2117808614 countsByYear W21178086142016 @default.
- W2117808614 countsByYear W21178086142017 @default.
- W2117808614 countsByYear W21178086142018 @default.
- W2117808614 countsByYear W21178086142019 @default.
- W2117808614 countsByYear W21178086142020 @default.
- W2117808614 countsByYear W21178086142021 @default.
- W2117808614 countsByYear W21178086142022 @default.
- W2117808614 countsByYear W21178086142023 @default.
- W2117808614 crossrefType "journal-article" @default.
- W2117808614 hasAuthorship W2117808614A5012098743 @default.
- W2117808614 hasAuthorship W2117808614A5033684482 @default.
- W2117808614 hasAuthorship W2117808614A5048302740 @default.
- W2117808614 hasBestOaLocation W21178086141 @default.
- W2117808614 hasConcept C119857082 @default.
- W2117808614 hasConcept C12267149 @default.
- W2117808614 hasConcept C154945302 @default.
- W2117808614 hasConcept C162324750 @default.
- W2117808614 hasConcept C187736073 @default.
- W2117808614 hasConcept C204321447 @default.
- W2117808614 hasConcept C2777530160 @default.
- W2117808614 hasConcept C2778112365 @default.
- W2117808614 hasConcept C2780451532 @default.
- W2117808614 hasConcept C41008148 @default.
- W2117808614 hasConcept C54355233 @default.
- W2117808614 hasConcept C66905080 @default.
- W2117808614 hasConcept C774472 @default.
- W2117808614 hasConcept C86803240 @default.
- W2117808614 hasConcept C95623464 @default.
- W2117808614 hasConceptScore W2117808614C119857082 @default.
- W2117808614 hasConceptScore W2117808614C12267149 @default.
- W2117808614 hasConceptScore W2117808614C154945302 @default.
- W2117808614 hasConceptScore W2117808614C162324750 @default.
- W2117808614 hasConceptScore W2117808614C187736073 @default.
- W2117808614 hasConceptScore W2117808614C204321447 @default.
- W2117808614 hasConceptScore W2117808614C2777530160 @default.
- W2117808614 hasConceptScore W2117808614C2778112365 @default.
- W2117808614 hasConceptScore W2117808614C2780451532 @default.
- W2117808614 hasConceptScore W2117808614C41008148 @default.
- W2117808614 hasConceptScore W2117808614C54355233 @default.
- W2117808614 hasConceptScore W2117808614C66905080 @default.
- W2117808614 hasConceptScore W2117808614C774472 @default.
- W2117808614 hasConceptScore W2117808614C86803240 @default.
- W2117808614 hasConceptScore W2117808614C95623464 @default.
- W2117808614 hasLocation W21178086141 @default.
- W2117808614 hasLocation W21178086142 @default.
- W2117808614 hasLocation W21178086143 @default.
- W2117808614 hasLocation W21178086144 @default.
- W2117808614 hasLocation W21178086145 @default.
- W2117808614 hasOpenAccess W2117808614 @default.
- W2117808614 hasPrimaryLocation W21178086141 @default.
- W2117808614 hasRelatedWork W135937222 @default.