62 lines
3.0 KiB
Markdown
62 lines
3.0 KiB
Markdown
---
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date: '2022-11-21T20:07:22'
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hypothesis-meta:
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created: '2022-11-21T20:07:22.691275+00:00'
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document:
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title:
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- IEEEtran-7.pdf
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flagged: false
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group: __world__
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hidden: false
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id: HE4vnmnYEe2__KMWJ8Dgcg
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links:
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html: https://hypothes.is/a/HE4vnmnYEe2__KMWJ8Dgcg
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incontext: https://hyp.is/HE4vnmnYEe2__KMWJ8Dgcg/www.researchgate.net/profile/Lin-Gui-5/publication/342058196_Multi-Task_Learning_with_Mutual_Learning_for_Joint_Sentiment_Classification_and_Topic_Detection/links/5f96fd48458515b7cf9f3abd/Multi-Task-Learning-with-Mutual-Learning-for-Joint-Sentiment-Classification-and-Topic-Detection.pdf
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json: https://hypothes.is/api/annotations/HE4vnmnYEe2__KMWJ8Dgcg
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permissions:
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admin:
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- acct:ravenscroftj@hypothes.is
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delete:
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- acct:ravenscroftj@hypothes.is
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read:
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- group:__world__
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update:
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- acct:ravenscroftj@hypothes.is
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tags:
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- NLProc
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- multi-task learning
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- topic modelling
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target:
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- selector:
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- end: 5426
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start: 5187
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type: TextPositionSelector
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- exact: . However, such a framework is not applicablehere since the learned latent
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topic representations in topicmodels can not be shared directly with word
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or sentencerepresentations learned in classifiers, due to their differentinherent
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meanings
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prefix: n task-relevant rep-resentations
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suffix: .We instead propose a new MTL fr
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type: TextQuoteSelector
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source: https://www.researchgate.net/profile/Lin-Gui-5/publication/342058196_Multi-Task_Learning_with_Mutual_Learning_for_Joint_Sentiment_Classification_and_Topic_Detection/links/5f96fd48458515b7cf9f3abd/Multi-Task-Learning-with-Mutual-Learning-for-Joint-Sentiment-Classification-and-Topic-Detection.pdf
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text: Latent word vectors and topic models learn different and entirely unrelated
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representations
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updated: '2022-11-21T20:07:22.691275+00:00'
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uri: https://www.researchgate.net/profile/Lin-Gui-5/publication/342058196_Multi-Task_Learning_with_Mutual_Learning_for_Joint_Sentiment_Classification_and_Topic_Detection/links/5f96fd48458515b7cf9f3abd/Multi-Task-Learning-with-Mutual-Learning-for-Joint-Sentiment-Classification-and-Topic-Detection.pdf
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user: acct:ravenscroftj@hypothes.is
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user_info:
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display_name: James Ravenscroft
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in-reply-to: https://www.researchgate.net/profile/Lin-Gui-5/publication/342058196_Multi-Task_Learning_with_Mutual_Learning_for_Joint_Sentiment_Classification_and_Topic_Detection/links/5f96fd48458515b7cf9f3abd/Multi-Task-Learning-with-Mutual-Learning-for-Joint-Sentiment-Classification-and-Topic-Detection.pdf
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tags:
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- NLProc
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- multi-task learning
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- topic modelling
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- hypothesis
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type: reply
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url: /replies/2022/11/21/1669061242
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---
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<blockquote>. However, such a framework is not applicablehere since the learned latent topic representations in topicmodels can not be shared directly with word or sentencerepresentations learned in classifiers, due to their differentinherent meanings</blockquote>Latent word vectors and topic models learn different and entirely unrelated representations |