%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 }