Reproducing a Neural Question Answering Architecture Applied to the SQuAD Benchmark Dataset: Challenges and Lessons Learned.
Alexander Dür|Andreas Rauber|Peter Filzmoser
| Anthology ID: | DBLP:conf/ecir/DurRF18 |
|---|---|
| Volume: | Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018, Grenoble, France, March 26-29, 2018, Proceedings |
| Year: | 2018 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 102-113 |
| URL: | https://doi.org/10.1007/978-3-319-76941-7_8 |
| DOI: | https://doi.org/10.1007/978-3-319-76941-7_8 |
| DBLP: | conf/ecir/DurRF18 |
| BibTeX: |
@inproceedings{dur-2018-reproducing,
author = {Alexander D\"{u}r and
Andreas Rauber and
Peter Filzmoser},
editor = {Gabriella Pasi and
Benjamin Piwowarski and
Leif Azzopardi and
Allan Hanbury},
title = {{Reproducing a Neural Question Answering Architecture Applied to the SQuAD Benchmark Dataset: Challenges and Lessons Learned}},
booktitle = {{Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018, Grenoble, France, March 26-29, 2018, Proceedings}},
series = {Lecture Notes in Computer Science},
volume = {10772},
pages = {102--113},
publisher = {Springer},
year = {2018},
url = {https://doi.org/10.1007/978-3-319-76941-7_8},
doi = {https://doi.org/10.1007/978-3-319-76941-7_8}
}