Learning Query-Space Document Representations for High-Recall Retrieval.
Sara Salamat|Negar Arabzadeh|Fattane Zarrinkalam|Morteza Zihayat|Ebrahim Bagheri
| Anthology ID: | DBLP:conf/ecir/SalamatAZZB23 |
|---|---|
| Volume: | Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part II |
| Year: | 2023 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 599-607 |
| URL: | https://doi.org/10.1007/978-3-031-28238-6_51 |
| DOI: | https://doi.org/10.1007/978-3-031-28238-6_51 |
| DBLP: | conf/ecir/SalamatAZZB23 |
| BibTeX: |
@inproceedings{salamat-2023-learning,
author = {Sara Salamat and
Negar Arabzadeh and
Fattane Zarrinkalam and
Morteza Zihayat and
Ebrahim Bagheri},
editor = {Jaap Kamps and
Lorraine Goeuriot and
Fabio Crestani and
Maria Maistro and
Hideo Joho and
Brian Davis and
Cathal Gurrin and
Udo Kruschwitz and
Annalina Caputo},
title = {{Learning Query-Space Document Representations for High-Recall Retrieval}},
booktitle = {{Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part II}},
series = {Lecture Notes in Computer Science},
volume = {13981},
pages = {599--607},
publisher = {Springer},
year = {2023},
url = {https://doi.org/10.1007/978-3-031-28238-6_51},
doi = {https://doi.org/10.1007/978-3-031-28238-6_51}
}