Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis.
| Anthology ID: | DBLP:conf/sigir/FuC19 |
|---|---|
| Volume: | Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019. |
| Year: | 2019 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1105-1108 |
| URL: | https://doi.org/10.1145/3331184.3331320 |
| DOI: | https://doi.org/10.1145/3331184.3331320 |
| DBLP: | conf/sigir/FuC19 |
| BibTeX: |
@inproceedings{fu-2019-learning,
author = {Hao-Ming Fu and
Pu-Jen Cheng},
editor = {Benjamin Piwowarski and
Max Chevalier and
\'{E}ric Gaussier and
Yoelle Maarek and
Jian-Yun Nie and
Falk Scholer},
title = {{Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis}},
booktitle = {{Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019}},
pages = {1105--1108},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3331184.3331320},
doi = {https://doi.org/10.1145/3331184.3331320}
}