Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding.

Susik Yoon|Dongha Lee|Yunyi Zhang|Jiawei Han


Anthology ID:DBLP:conf/sigir/YoonLZ023
Volume:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
Year:2023
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:802-811
URL:https://doi.org/10.1145/3539618.3591782
DOI:https://doi.org/10.1145/3539618.3591782
DBLP:conf/sigir/YoonLZ023
BibTeX:
@inproceedings{yoon-2023-unsupervised, author = {Susik Yoon and Dongha Lee and Yunyi Zhang and Jiawei Han}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding}}, booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}}, pages = {802--811}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3591782}, doi = {https://doi.org/10.1145/3539618.3591782} }