W2E: A Worldwide-Event Benchmark Dataset for Topic Detection and Tracking.
Tuan-Anh Hoang|Khoi Duy Vo|Wolfgang Nejdl
| Anthology ID: | DBLP:conf/cikm/HoangVN18 |
|---|---|
| Volume: | Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018 |
| Year: | 2018 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1847-1850 |
| URL: | https://doi.org/10.1145/3269206.3269309 |
| DOI: | https://doi.org/10.1145/3269206.3269309 |
| DBLP: | conf/cikm/HoangVN18 |
| BibTeX: |
@inproceedings{hoang-2018-w2e,
author = {Tuan-Anh Hoang and
Khoi Duy Vo and
Wolfgang Nejdl},
editor = {Alfredo Cuzzocrea and
James Allan and
Norman W. Paton and
Divesh Srivastava and
Rakesh Agrawal and
Andrei Z. Broder and
Mohammed J. Zaki and
K. Sel\c{c}uk Candan and
Alexandros Labrinidis and
Assaf Schuster and
Haixun Wang},
title = {{W2E: A Worldwide-Event Benchmark Dataset for Topic Detection and Tracking}},
booktitle = {{Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018}},
pages = {1847--1850},
publisher = {ACM},
year = {2018},
url = {https://doi.org/10.1145/3269206.3269309},
doi = {https://doi.org/10.1145/3269206.3269309}
}