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} }