A hybrid statistical/linguistic model for generating news story gists.
William P. Doran|Nicola Stokes|Eamonn Newman|John Dunnion|Joe Carthy
| Anthology ID: | DBLP:conf/sigir/DoranSNDC04 |
|---|---|
| Volume: | SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Sheffield, UK, July 25-29, 2004 |
| Year: | 2004 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 464-465 |
| URL: | https://doi.org/10.1145/1008992.1009072 |
| DOI: | https://doi.org/10.1145/1008992.1009072 |
| DBLP: | conf/sigir/DoranSNDC04 |
| BibTeX: |
@inproceedings{doran-2004-hybrid,
author = {William P. Doran and
Nicola Stokes and
Eamonn Newman and
John Dunnion and
Joe Carthy},
editor = {Mark Sanderson and
Kalervo J\"{a}rvelin and
James Allan and
Peter Bruza},
title = {{A hybrid statistical/linguistic model for generating news story gists}},
booktitle = {{SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Sheffield, UK, July 25-29, 2004}},
pages = {464--465},
publisher = {ACM},
year = {2004},
url = {https://doi.org/10.1145/1008992.1009072},
doi = {https://doi.org/10.1145/1008992.1009072}
}