vanzytay / Wsdm2018_hyperqa
Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"
Stars: ✭ 66
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to Wsdm2018 hyperqa
Knowledge Graphs
A collection of research on knowledge graphs
Stars: ✭ 845 (+1180.3%)
Mutual labels: question-answering, paper
Deep Embedded Memory Networks
https://arxiv.org/abs/1707.00836
Stars: ✭ 19 (-71.21%)
Mutual labels: question-answering, paper
Style Transfer In Text
Paper List for Style Transfer in Text
Stars: ✭ 1,030 (+1460.61%)
Mutual labels: paper
Imitation Learning
Autonomous driving: Tensorflow implementation of the paper "End-to-end Driving via Conditional Imitation Learning"
Stars: ✭ 60 (-9.09%)
Mutual labels: paper
Pytorch Classification Uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Stars: ✭ 59 (-10.61%)
Mutual labels: paper
Fullsubnet
PyTorch implementation of "A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
Stars: ✭ 51 (-22.73%)
Mutual labels: paper
Dips
NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
Stars: ✭ 59 (-10.61%)
Mutual labels: paper
Neural Architecture Search With Rl
Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017
Stars: ✭ 37 (-43.94%)
Mutual labels: paper
Medical Question Answer Data
Medical question and answer dataset gathered from the web.
Stars: ✭ 65 (-1.52%)
Mutual labels: question-answering
Papers
Papers about known hacking, security, hardware, software, computer, network and other ressources.
Stars: ✭ 58 (-12.12%)
Mutual labels: paper
Multiagent Particle Envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Stars: ✭ 1,086 (+1545.45%)
Mutual labels: paper
Logic guided qa
The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
Stars: ✭ 55 (-16.67%)
Mutual labels: question-answering
Turnoff Namuwiki
조별과제 때마다 "나무위키 꺼라."라고 말하시는게 피곤하신 여러분을 위해 만들어진 Browser Extension, 나무위키를 꺼 드립니다.
Stars: ✭ 59 (-10.61%)
Mutual labels: paper
Cdqa Annotator
⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.
Stars: ✭ 48 (-27.27%)
Mutual labels: question-answering
Shift Ctrl F
🔎 Search the information available on a webpage using natural language instead of an exact string match.
Stars: ✭ 1,023 (+1450%)
Mutual labels: question-answering
Mullowbivqa
Hadamard Product for Low-rank Bilinear Pooling
Stars: ✭ 57 (-13.64%)
Mutual labels: question-answering
Bert In Production
A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.
Stars: ✭ 58 (-12.12%)
Mutual labels: paper
Personae
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Stars: ✭ 1,140 (+1627.27%)
Mutual labels: paper
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}
}
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].