Contextualizing Trending Entities in News Stories.
Marco Ponza|Diego Ceccarelli|Paolo Ferragina|Edgar Meij|Sambhav Kothari
| Anthology ID: | DBLP:conf/wsdm/PonzaCFMK21 |
|---|---|
| Volume: | WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021 |
| Year: | 2021 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 346-354 |
| URL: | https://doi.org/10.1145/3437963.3441765 |
| DOI: | https://doi.org/10.1145/3437963.3441765 |
| DBLP: | conf/wsdm/PonzaCFMK21 |
| BibTeX: |
@inproceedings{ponza-2021-contextualizing,
author = {Marco Ponza and
Diego Ceccarelli and
Paolo Ferragina and
Edgar Meij and
Sambhav Kothari},
editor = {Liane Lewin-Eytan and
David Carmel and
Elad Yom-Tov and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{Contextualizing Trending Entities in News Stories}},
booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}},
pages = {346--354},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3437963.3441765},
doi = {https://doi.org/10.1145/3437963.3441765}
}