Shubham Chatterjee and Laura Dietz. 2022. BERT-ER: Query-specific BERT Entity Representations for Entity Ranking. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22).
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This material is based upon work supported by the National Science Foundation under Grant No. 1846017. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
@inproceedings{chatterjee2022berter,
author = {Chatterjee, Shubham and Dietz, Laura},
title = {BERT-ER: Query-specific BERT Entity Representations for Entity Ranking},
year = {2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3477495.3531944},
doi = {10.1145/3477495.3531944},
booktitle = {Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval},
numpages = {10},
location = {Madrid, Spain},
series = {SIGIR '22}
}
If you have any questions, please contact Shubham Chatterjee at [email protected] or [email protected].