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} }