Learning to Enrich Query Representation with Pseudo-Relevance Feedback for Cross-lingual Retrieval.
Ramraj Chandradevan|Eugene Yang|Mahsa Yarmohammadi|Eugene Agichtein
| Anthology ID: | DBLP:conf/sigir/ChandradevanYYA22 |
|---|---|
| Volume: | SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022 |
| Year: | 2022 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1790-1795 |
| URL: | https://doi.org/10.1145/3477495.3532013 |
| DOI: | https://doi.org/10.1145/3477495.3532013 |
| DBLP: | conf/sigir/ChandradevanYYA22 |
| BibTeX: |
@inproceedings{chandradevan-2022-learning,
author = {Ramraj Chandradevan and
Eugene Yang and
Mahsa Yarmohammadi and
Eugene Agichtein},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{Learning to Enrich Query Representation with Pseudo-Relevance Feedback for Cross-lingual Retrieval}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {1790--1795},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3532013},
doi = {https://doi.org/10.1145/3477495.3532013}
}