From 6a73e54d38026b45d3dbed6e69a959fe72902b8d Mon Sep 17 00:00:00 2001 From: ravenscroftj Date: Mon, 21 Nov 2022 20:15:13 +0000 Subject: [PATCH] Add 'brainsteam/content/replies/2022/11/21/1669061242.md' --- .../content/replies/2022/11/21/1669061242.md | 62 +++++++++++++++++++ 1 file changed, 62 insertions(+) create mode 100644 brainsteam/content/replies/2022/11/21/1669061242.md diff --git a/brainsteam/content/replies/2022/11/21/1669061242.md b/brainsteam/content/replies/2022/11/21/1669061242.md new file mode 100644 index 0000000..1f6b414 --- /dev/null +++ b/brainsteam/content/replies/2022/11/21/1669061242.md @@ -0,0 +1,62 @@ +--- +date: '2022-11-21T20:07:22' +hypothesis-meta: + created: '2022-11-21T20:07:22.691275+00:00' + document: + title: + - IEEEtran-7.pdf + flagged: false + group: __world__ + hidden: false + id: HE4vnmnYEe2__KMWJ8Dgcg + links: + html: https://hypothes.is/a/HE4vnmnYEe2__KMWJ8Dgcg + 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 + json: https://hypothes.is/api/annotations/HE4vnmnYEe2__KMWJ8Dgcg + permissions: + admin: + - acct:ravenscroftj@hypothes.is + delete: + - acct:ravenscroftj@hypothes.is + read: + - group:__world__ + update: + - acct:ravenscroftj@hypothes.is + tags: + - NLProc + - multi-task learning + - topic modelling + target: + - selector: + - end: 5426 + start: 5187 + type: TextPositionSelector + - exact: . 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 + prefix: n task-relevant rep-resentations + suffix: .We instead propose a new MTL fr + type: TextQuoteSelector + 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 + text: Latent word vectors and topic models learn different and entirely unrelated + representations + updated: '2022-11-21T20:07:22.691275+00:00' + 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 + user: acct:ravenscroftj@hypothes.is + user_info: + display_name: James Ravenscroft +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 +tags: +- NLProc +- multi-task learning +- topic modelling +- hypothesis +type: reply +url: /replies/2022/11/21/1669061242 + +--- + + + +
. 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
Latent word vectors and topic models learn different and entirely unrelated representations \ No newline at end of file