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%0 Conference Paper
%1 conf/sigir/ShiLJSL17
%A Shi, Bei
%A Lam, Wai
%A Jameel, Shoaib
%A Schockaert, Steven
%A Lai, Kwun Ping
%B SIGIR
%D 2017
%E Kando, Noriko
%E Sakai, Tetsuya
%E Joho, Hideo
%E Li, Hang
%E de Vries, Arjen P.
%E White, Ryen W.
%I ACM
%K em embeddings latent models polysemy topic word
%P 375-384
%T Jointly Learning Word Embeddings and Latent Topics.
%U https://arxiv.org/pdf/1706.07276.pdf
%@ 978-1-4503-5022-8
@inproceedings{conf/sigir/ShiLJSL17,
added-at = {2019-01-23T12:57:44.000+0100},
author = {Shi, Bei and Lam, Wai and Jameel, Shoaib and Schockaert, Steven and Lai, Kwun Ping},
biburl = {https://www.bibsonomy.org/bibtex/232116fc915829069b49e64d0fe5af9d0/schwemmlein},
booktitle = {SIGIR},
crossref = {conf/sigir/2017},
editor = {Kando, Noriko and Sakai, Tetsuya and Joho, Hideo and Li, Hang and de Vries, Arjen P. and White, Ryen W.},
ee = {https://doi.org/10.1145/3077136.3080806},
interhash = {36bc03480237a9578a5d559bd1e08727},
intrahash = {32116fc915829069b49e64d0fe5af9d0},
isbn = {978-1-4503-5022-8},
keywords = {em embeddings latent models polysemy topic word},
pages = {375-384},
publisher = {ACM},
timestamp = {2019-01-23T12:57:44.000+0100},
title = {Jointly Learning Word Embeddings and Latent Topics.},
url = {https://arxiv.org/pdf/1706.07276.pdf},
year = 2017
}