Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"
Code for WSDM 2018 Paper
"Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering" - Yi Tay, Anh Tuan Luu, Siu Cheung Hui - Proceedings of WSDM 2018.
https://arxiv.org/pdf/1707.07847
This repository contains a reference implementation of HyperQA (which is merely copied from the main experiment repository I have). It is helpful for some details that I had no space to report in the actual paper.
I had to strip away some components from other models and also copy paste from my own library. Therefore, some dependencies may be missing for now. A running version with Preprocessing or training scripts will be uploaded when I have time.
Coming Soon. Cleanin in Progress..
Please cite the WSDM version when it is out in the proceedings.
@article{DBLP:journals/corr/TayLH17a,
author = {Yi Tay and
Anh Tuan Luu and
Siu Cheung Hui},
title = {Enabling Efficient Question Answer Retrieval via Hyperbolic Neural
Networks},
journal = {CoRR},
volume = {abs/1707.07847},
year = {2017},
url = {http://arxiv.org/abs/1707.07847},
archivePrefix = {arXiv},
eprint = {1707.07847},
timestamp = {Sat, 05 Aug 2017 14:56:20 +0200},
biburl = {http://dblp.org/rec/bib/journals/corr/TayLH17a},
bibsource = {dblp computer science bibliography, http://dblp.org}
}