MLIA-DAC@TREC CAsT 2022: Sparse Contextualized Query Embedding.
Nam Le Hai|Thomas Gerald|Thibault Formal|Jian-Yun Nie|Benjamin Piwowarski|Laure Soulier
| Anthology ID: | DBLP:conf/trec/HaiGFNPS22 |
|---|---|
| Volume: | Proceedings of the Thirty-First Text REtrieval Conference, TREC 2022, online, November 15-19, 2022 |
| Year: | 2022 |
| Venue: | Text Retrieval Conference (TREC) |
| Publisher: | National Institute of Standards and Technology (NIST) |
| URL: | https://trec.nist.gov/pubs/trec31/papers/MLIA-DAC.C.pdf |
| DBLP: | conf/trec/HaiGFNPS22 |
| BibTeX: |
@inproceedings{hai-2022-mliadactrec,
author = {Nam Le Hai and
Thomas Gerald and
Thibault Formal and
Jian-Yun Nie and
Benjamin Piwowarski and
Laure Soulier},
editor = {Ian Soboroff and
Angela Ellis},
title = {{MLIA-DAC@TREC CAsT 2022: Sparse Contextualized Query Embedding}},
booktitle = {{Proceedings of the Thirty-First Text REtrieval Conference, TREC 2022, online, November 15-19, 2022}},
series = {NIST Special Publication},
volume = {500-338},
publisher = {National Institute of Standards and Technology (NIST)},
year = {2022},
url = {https://trec.nist.gov/pubs/trec31/papers/MLIA-DAC.C.pdf}
}