brainsteam.co.uk/brainsteam/content/annotations/2022/11/21/1669061242.md

3.0 KiB

date hypothesis-meta in-reply-to tags type url
2022-11-21T20:07:22
created document flagged group hidden id links permissions tags target text updated uri user user_info
2022-11-21T20:07:22.691275+00:00
title
IEEEtran-7.pdf
false __world__ false HE4vnmnYEe2__KMWJ8Dgcg
html incontext json
https://hypothes.is/a/HE4vnmnYEe2__KMWJ8Dgcg 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 https://hypothes.is/api/annotations/HE4vnmnYEe2__KMWJ8Dgcg
admin delete read update
acct:ravenscroftj@hypothes.is
acct:ravenscroftj@hypothes.is
group:__world__
acct:ravenscroftj@hypothes.is
NLProc
multi-task learning
topic modelling
selector source
end start type
5426 5187 TextPositionSelector
exact prefix suffix type
. 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 n task-relevant rep-resentations .We instead propose a new MTL fr TextQuoteSelector
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
Latent word vectors and topic models learn different and entirely unrelated representations 2022-11-21T20:07:22.691275+00:00 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 acct:ravenscroftj@hypothes.is
display_name
James Ravenscroft
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
NLProc
multi-task learning
topic modelling
hypothesis
annotation /annotation/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