Topic Structure-Aware Neural Language Model: Unified language model that maintains word and topic ordering by their embedded representations.

Noriaki Kawamae


Anthology ID:DBLP:conf/www/Kawamae19a
Volume:The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019
Year:2019
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:2900-2906
URL:https://doi.org/10.1145/3308558.3313757
DOI:https://doi.org/10.1145/3308558.3313757
DBLP:conf/www/Kawamae19a
BibTeX:
@inproceedings{kawamae-2019-topic, author = {Noriaki Kawamae}, editor = {Ling Liu and Ryen W. White and Amin Mantrach and Fabrizio Silvestri and Julian J. McAuley and Ricardo Baeza-Yates and Leila Zia}, title = {{Topic Structure-Aware Neural Language Model: Unified language model that maintains word and topic ordering by their embedded representations}}, booktitle = {{The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}}, pages = {2900--2906}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3308558.3313757}, doi = {https://doi.org/10.1145/3308558.3313757} }