A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models.
Oleg Lesota|Navid Rekabsaz|Daniel Cohen|Klaus Antonius Grasserbauer|Carsten Eickhoff|Markus Schedl
| Anthology ID: | DBLP:conf/ictir/LesotaRCGES21 |
|---|---|
| Volume: | ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021 |
| Year: | 2021 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 185-195 |
| URL: | https://doi.org/10.1145/3471158.3472229 |
| DOI: | https://doi.org/10.1145/3471158.3472229 |
| DBLP: | conf/ictir/LesotaRCGES21 |
| BibTeX: |
@inproceedings{lesota-2021-modern,
author = {Oleg Lesota and
Navid Rekabsaz and
Daniel Cohen and
Klaus Antonius Grasserbauer and
Carsten Eickhoff and
Markus Schedl},
editor = {Faegheh Hasibi and
Yi Fang and
Akiko Aizawa},
title = {{A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models}},
booktitle = {{ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021}},
pages = {185--195},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3471158.3472229},
doi = {https://doi.org/10.1145/3471158.3472229}
}