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Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"
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README.md

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HyperQA

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..

Reference

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}
}
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