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