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Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts
Yiming Wang
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Ximing Li
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Xiaotang Zhou
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Jihong Ouyang
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Paper Details:
Month: November
Year: 2021
Location: Punta Cana, Dominican Republic
Venue:
EMNLP |
Findings |
SIG: SIGDAT
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https://nlp.stanford.edu/projects/glov
http://cogcomp.cs.illinois.edu/Data/QA/
https://news.google.com/
https://answers.yahoo.com
https://nltk.org
https://github.com/blei-lab/lda-c
https://github.com/jackyin12/GSDMM
https://github.com/xiaohuiyan/BTM
https://github.com/NobodyWHU/GPUDMM
https://github.com/ysmiao/nvdm
https://github.com/akashgit/autoencodi
https://github.com/valdersoul/GraphBTM
https://github.com/BobXWu/NQTM
https://nlp.stanford.edu/projects/glov
https://github.com/dice-group/Palmetto
https://wikipedia2vec.github.io/wikipe
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