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} }