NLQxform-UI: An Interactive and Intuitive Scholarly Question Answering System.
Ruijie Wang|Zhiruo Zhang|Luca Rossetto|Florian Ruosch|Abraham Bernstein
| Anthology ID: | DBLP:conf/sigir/0003ZRRB25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3990-3993 |
| URL: | https://doi.org/10.1145/3726302.3730153 |
| DOI: | https://doi.org/10.1145/3726302.3730153 |
| DBLP: | conf/sigir/0003ZRRB25 |
| BibTeX: |
@inproceedings{wang-2025-nlqxformui,
author = {Ruijie Wang and
Zhiruo Zhang and
Luca Rossetto and
Florian Ruosch and
Abraham Bernstein},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{NLQxform-UI: An Interactive and Intuitive Scholarly Question Answering System}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {3990--3993},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730153},
doi = {https://doi.org/10.1145/3726302.3730153}
}