An Auto Encoder-based Dimensionality Reduction Technique for Efficient Entity Linking in Business Phone Conversations.
Md. Tahmid Rahman Laskar|Cheng Chen|Jonathan Johnston|Xue-Yong Fu|Shashi Bhushan TN|Simon Corston-Oliver
| Anthology ID: | DBLP:conf/sigir/LaskarCJFTC22 |
|---|---|
| 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: | 3363-3367 |
| URL: | https://doi.org/10.1145/3477495.3536322 |
| DOI: | https://doi.org/10.1145/3477495.3536322 |
| DBLP: | conf/sigir/LaskarCJFTC22 |
| BibTeX: |
@inproceedings{laskar-2022-auto,
author = {Md. Tahmid Rahman Laskar and
Cheng Chen and
Jonathan Johnston and
Xue-Yong Fu and
Shashi Bhushan TN and
Simon Corston-Oliver},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{An Auto Encoder-based Dimensionality Reduction Technique for Efficient Entity Linking in Business Phone Conversations}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {3363--3367},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3536322},
doi = {https://doi.org/10.1145/3477495.3536322}
}