iLFQA: A Platform for Efficient and Accurate Long-Form Question Answering.
Rhys Butler|Vishnu Dutt Duggirala|Farnoush Banaei Kashani
| Anthology ID: | DBLP:conf/wsdm/ButlerDK22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1565-1568 |
| URL: | https://doi.org/10.1145/3488560.3502190 |
| DOI: | https://doi.org/10.1145/3488560.3502190 |
| DBLP: | conf/wsdm/ButlerDK22 |
| BibTeX: |
@inproceedings{butler-2022-ilfqa,
author = {Rhys Butler and
Vishnu Dutt Duggirala and
Farnoush Banaei Kashani},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{iLFQA: A Platform for Efficient and Accurate Long-Form Question Answering}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {1565--1568},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3502190},
doi = {https://doi.org/10.1145/3488560.3502190}
}