Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants.
Christophe Van Gysel|Manos Tsagkias|Ernest Pusateri|Ilya Oparin
| Anthology ID: | DBLP:conf/sigir/GyselTPO20 |
|---|---|
| Volume: | Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020 |
| Year: | 2020 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1613-1616 |
| URL: | https://doi.org/10.1145/3397271.3401298 |
| DOI: | https://doi.org/10.1145/3397271.3401298 |
| DBLP: | conf/sigir/GyselTPO20 |
| BibTeX: |
@inproceedings{gysel-2020-predicting,
author = {Christophe Van Gysel and
Manos Tsagkias and
Ernest Pusateri and
Ilya Oparin},
editor = {Jimmy Huang and
Yi Chang and
Xueqi Cheng and
Jaap Kamps and
Vanessa Murdock and
Ji-Rong Wen and
Yiqun Liu},
title = {{Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants}},
booktitle = {{Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020}},
pages = {1613--1616},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3397271.3401298},
doi = {https://doi.org/10.1145/3397271.3401298}
}