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} }