Enhanced Story Representation by ConceptNet for Predicting Story Endings.
Shanshan Huang|Kenny Q. Zhu|Qianzi Liao|Libin Shen|Yinggong Zhao
| Anthology ID: | DBLP:conf/cikm/HuangZLSZ20 |
|---|---|
| Volume: | CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 |
| Year: | 2020 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3277-3280 |
| URL: | https://doi.org/10.1145/3340531.3417466 |
| DOI: | https://doi.org/10.1145/3340531.3417466 |
| DBLP: | conf/cikm/HuangZLSZ20 |
| BibTeX: |
@inproceedings{huang-2020-enhanced,
author = {Shanshan Huang and
Kenny Q. Zhu and
Qianzi Liao and
Libin Shen and
Yinggong Zhao},
editor = {Mathieu d'Aquin and
Stefan Dietze and
Claudia Hauff and
Edward Curry and
Philippe Cudr\'{e}-Mauroux},
title = {{Enhanced Story Representation by ConceptNet for Predicting Story Endings}},
booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}},
pages = {3277--3280},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3340531.3417466},
doi = {https://doi.org/10.1145/3340531.3417466}
}