HyperPIE: Hyperparameter Information Extraction from Scientific Publications.
Tarek Saier|Mayumi Ohta|Takuto Asakura|Michael Färber
| Anthology ID: | DBLP:conf/ecir/SaierOAF24 |
|---|---|
| Volume: | Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II |
| Year: | 2024 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 254-269 |
| URL: | https://doi.org/10.1007/978-3-031-56060-6_17 |
| DOI: | https://doi.org/10.1007/978-3-031-56060-6_17 |
| DBLP: | conf/ecir/SaierOAF24 |
| BibTeX: |
@inproceedings{saier-2024-hyperpie,
author = {Tarek Saier and
Mayumi Ohta and
Takuto Asakura and
Michael F\"{a}rber},
editor = {Nazli Goharian and
Nicola Tonellotto and
Yulan He and
Aldo Lipani and
Graham McDonald and
Craig Macdonald and
Iadh Ounis},
title = {{HyperPIE: Hyperparameter Information Extraction from Scientific Publications}},
booktitle = {{Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II}},
series = {Lecture Notes in Computer Science},
volume = {14609},
pages = {254--269},
publisher = {Springer},
year = {2024},
url = {https://doi.org/10.1007/978-3-031-56060-6_17},
doi = {https://doi.org/10.1007/978-3-031-56060-6_17}
}