FedNLP: An Interpretable NLP System to Decode Federal Reserve Communications.
Jean Lee|Hoyoul Luis Youn|Nicholas Stevens|Josiah Poon|Soyeon Caren Han
| Anthology ID: | DBLP:conf/sigir/LeeYSPH21 |
|---|---|
| Volume: | SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 |
| Year: | 2021 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2560-2564 |
| URL: | https://doi.org/10.1145/3404835.3462785 |
| DOI: | https://doi.org/10.1145/3404835.3462785 |
| DBLP: | conf/sigir/LeeYSPH21 |
| BibTeX: |
@inproceedings{lee-2021-fednlp,
author = {Jean Lee and
Hoyoul Luis Youn and
Nicholas Stevens and
Josiah Poon and
Soyeon Caren Han},
editor = {Fernando Diaz and
Chirag Shah and
Torsten Suel and
Pablo Castells and
Rosie Jones and
Tetsuya Sakai},
title = {{FedNLP: An Interpretable NLP System to Decode Federal Reserve Communications}},
booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}},
pages = {2560--2564},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3404835.3462785},
doi = {https://doi.org/10.1145/3404835.3462785}
}