Project Name |
Authors |
Step by Step approach to build a model for SQuAD |
Anjan Dwaraknath |
Answering Questions with CharCNN and Bi-directional Attention Flow |
Connie Xiao, Cindy Ding Jiang |
Question Answering System with Deep Learning |
Jake Spracher, Takahiro Fushimi, Robert M Schoenhals |
Character CNN and Self—Attention for SQuAD |
Jianqing Yang |
Recurrent Neural Networks with Attention for Question Answering |
Ben Hannel |
BiDAF-inspired Preferential Multi-perspective Matching for Question Answering Task |
Yuxing Chen, Kexin Yu |
Reading Comprehension with SQuAD Dataset |
Wei Kang |
Improved Question Answering On the SQuAD Dataset Using Attention Mechanisms |
Kelly Shen |
Attention Mechanism in Machine Comprehension |
Yingnan Xiao |
Conditioning LSTM Decoder and Bi-directional Attention Based Question Answering System |
Heguang Liu |
Attention-Based Neural Network For Question Answering |
Zhengyang Tang, Songze Li |
Evaluating Different Techniques On SQuAD |
Xinyu Xu, Zhangyuan Wang |
R-NET with BiDAF for Reading Comprehension |
Jingwei Ji, Zibo Gong |
Bidirectional attention flow for Question Answering |
Ana-Maria Istrate |
The Quest for High-Performance Question Answering Neural Net Models |
Lauren Blake |
A Comparison of RNN and Transformer—based Question Answering Systems |
Adam Jensen, Diana Moncoqut |
Ensemble Leaning for Stanford Question Answering Challenge |
Yuzhou Liu |
R—NET based Neural Network for Machine Reading Comprehension |
abhishek bharani, VenkataBalaji Kollu |
Bi-Directional Attention & Self Attention for SQUAD |
LI DENG, Zhiling Huang |
Machine Reading Comprehension On the SQuAD Dataset Using R-NET |
Jason Mian Luo, William Zeng |
Improving SQuAD Baseline Using BiDAF Refinements and Experimenting with Semi-Supervised Learnin |
Allison Koenecke, Varun Vasudevan |
SQuAD GOALS Guided Objective Advanced Learning System |
Derek Phillips |
Question Answering using BiDAF and DrQA |
Fu Rui, Xuan Yang |
Question Answering with Attentions Ensemble |
Zihan Lin, Jason Zhu, Teng Zhang |
Q&A on the SQuAD dataset |
Matej Kosec, Liz Wen Yao |
A Study of Attention in Deep Learning Models for Question Answering |
William Locke |
Question Answering On the SQuAD Dataset |
Stephanie Vincci Tang, Ivan Suarez Robles |
High Performance SQuAD and Transfer Learning |
Alexandre Gauthier, Jeff Chen |
Question Answering on SQuAD Dataset with BiDAF and Self-Attention |
Junwei Yang |
Improved Question Answering on the SQuAD Dataset Using Attention Mechanisms |
Vincent Sheu |
Reading Comprehension Neutral Network with Attention and Post Attention Modeling. |
Xu Zhao, Zhi Liu |
CS224N Default Final Project Write-Up |
Mark Holmstrom |
Paying Attention to SQuAD: Exploring Bidirectional Attention Flow |
Lucy Li, Heather Rae Blundell |
Machine Comprehension on SQuAD BiDAF vs Coattention |
Minh-An Quinn |
Question Answering with Attention |
Stephanie Dong, Ziyi Li |
An Exploration of Question-Answering Modules |
Margaret Gan Guo, Wen Torng |
An Ensemble Model for SQuAD |
Yuze He, Priyanka Dwivedi |
The SQuAD Challenge – Machine Comprehension on the Stanford Question Answering Dataset |
Rohit Prakash Apte |
Question Answering using Bidirectional Attention Flow and Co-Attention |
Apoorva Dornadula, Parth Shah |
Question Answering |
Omar Sow |
Exploring Techniques for Neural Question Answering |
Gabriel Bianconi, Mahesh Agrawal |
Question answering using weighted-loss Bi-Directional Attention Flow on SQuAD Dataset |
mengjiec@stanford.edu |
An Exploration of State of the Art Techniques for Question Answering Systems |
James Payette |
Reading Comprehension using Bi-Directional Attention Network |
Pratik Kumar, Neel Mani Singh |
Neural Question Answering |
Aneesh Pappu, Rohun Saxena |
Combining Bidirectional Attention Flow and Attention Pooling Pointer Networks for High Performance on the SQuAD Challeng |
Kiko Ilagan, Anoop Manjunath |
Reading Comprehension and Question Answering with Bidirectional Attention Flow |
Andrew Huang, Michael Ko |
Investigations in Question Answering Architectures |
Patrick Cho, Sudarshan Seshadri |
The Impact of Attention Mechanisms on Question Answering Performance |
Joe M Paggi, Benjamin Parks |
Machine Comprehension on SQuAD BiDAF vs Coattention |
Ramin Ahmari |
Towards an Integrated QA Model |
Fangzhou Liu |
Implementation of R-NET Machine Comprehension Model for Question Answering |
Sabarish Sankaranarayanan |
Question Answering on the SQuAD Dataset |
Laëtitia Shao, Ben Zhou |
Applying Bi-Directional Attention Flow to SQuAD |
Jestin Ma, Jialin ding |
A Bidirectional Attention-Based Approach to Machine Comprehension and Question Answering |
Kevin Chen |
Question Answering System with Question Type Modelling |
Ksenia Ponomareva |
Machine Comprehension on SQuAD using Bi-Directional Attention Flow |
Daisy Ding |
CS224N: Question-Answering Utilizing Bidirectional Attention Flow |
Wesley Chan Olmsted, Trevor Danielson |
R-Net with Multiplicative Attention |
Rooz Mahdavian, Pierce Barrett Freeman |
Question Answering with Coattention Encoding and Answer Pointer Network |
Yinghao Xu |
CS224N Final Report |
Allen Zhao, Dirk Hofland |
Computational Reading Comprehension through Self-Attention and Convolution |
Neil Movva, Samir Menon |
Exploring Attention Mechanisms for Reading Comprehension |
Noah Makow |
Machine Comprehension Systems on SQuAD Dataset |
Megha Jhunjhunwala, Shantanu Thakoor |
Question Answering Using Bi-Directional Attention Flow with Position Encoder |
Denis |
C8224N Final SQuAD Improvements |
Ryan Almodovar, VIVEK MISRA |
SQuAD Challenge |
Matthew Creme, Mackenzie James Pearson, Raphael Lenain |
SQuAD With LSTM and BiDAF |
Ethson Villegas, Danielle Siy |
Combining Attention Approaches for the SQuAD Challenge |
Luke James Blackshaw Asperger |
Multi-layer GRU using character level information for SQUAD challenge |
Jake Yoon |
Machine Comprehension with BiDAF |
Shim Young Lee |
Lightweight Convolutional Approaches to Reading Comprehension for SQuAD |
Ben Penchas, Tobin Bell |
Question Answering System with Bidirectional Attention Flow |
Hsu-kuang Chiu, Ting-Wei Su |
Bidirectional Attention Flow with LSTM Networks for Question Answering |
James Li |
Bi-Directional Attention Flow and CO-Attention Models for Question Answering on the SQuA |
Rafael Musa |
Analyzing Modeling Layers for the SQuAD Challenge |
Tim Anderson |
CS224N SQuAD Challenge with Bidirectional Attention Flow and Context Features |
David Lee-Heidenreich, Adrien Truong |
A Bi-directional Attention Flow Model for the SQuAD Dataset |
Cody Keola Kala, Horace Chu |
Machine Comprehension with BiDAF and Answer Pointer |
Zehui Wang, Xiaoxue Zang |
Question Answering with Deep Learning |
Jackie Yau, Hao Wu |
Reading Comprehension on the SQuAD Dataset |
David Xue, Bill Zhu (Legal Name: Zheqing Zhu) |
Machine Comprehension on SQuAD using Bi-Directional Attention Flow |
Ruohan Zhan |
An Approach to Machine Reading Comprehension on SQuAD |
Jiafu Wu, Alan Flores-Lopez |
Question Answering With Deep Bidirectional Attention Flow and FusionNet |
Silviana Ciurea-Ilcus, Michal Kim Wegrzynski |
SQUAD Challenge : A Hybrid Model for Question Answering |
Onur Cezmi Mutlu, Hacer Umay Geyikci |
Natural language Question Answering using Curriculum Learning |
Abhijeet Shenoi, Aarti Bagul |
Exploring Attention in Question Answering Models |
Anav Sood, Ethan Zi-Yu Shen |
A Multi-Attention Reading Comprehension Model for SQuAD Dataset |
Shuyang Shi, Tong Yang |
Deep Question Answering on SQuAD |
Mitchell Dawson |
CS224N Final Project SQUAD Challenge |
Saahil Agrawal, Nicholas Johnson |
SQuAD Challenge using BiLSTM and Bidirectional Attention Flow |
Mojtaba Sharifzadeh |
SQuAD Model Exploration: BiDAF and Input Feature |
Ben Barnett, Jeffrey Dong Chen |
Question Answering with the SQuAD |
Wayne Lu |
Question Answering on the SQuAD Dataset |
Yongshang Wu, Hao Wang |
Building a Question Answering System with a Character Level Convolutional Neural Network and Attention Layers — Is it a good idea? |
Praveen Govindraj |
Pay More Attention: Neural Architectures for Question-Answering |
Zia Hasan, SebastianFiscer |
Question Answering model using BiDAF |
Shawn Hu, Ran Gross |
Reading Comprehension with Neural Networks |
Andrew Weitz |
Question Answering on the SQuAD Dataset |
Hyun Sik Kim |
Question answering on the SQuAD dataset with bidirectional attention flow |
Brahm Capoor, Varun Nambikrishnan |
Question Answering with Bi-directional Attention and Character Embedding |
Yuting Sun, xiangcao liu |
Ask BiDAF |
Mitchell Douglass, Caelin Tran, Griffin Slade Koontz |
A Bi-directional Attention Flow (BiDAF) Model for the Stanford Question Answering Dataset (SQUAD) |
Charles Hale, Helen Xiong |
Question Answering on SQuAD |
Jake Smola, Evan |
Coattention-Based Neural Network for SQuAD Question Answering |
Xizhi Han, Yue Hui |
Bi-Directional Attention and Beyond: Double BiDAF with Residual Connections for Question Answering |
Pedro Montebello Milani |
Machine Reading Comprehension on SQuAD with Relevance Encoder |
Feng Liu, Qixiang Zhang |
Question Answering |
Bowen Deng |
Question Answering with Various Attention Mechanisms |
Yinghao Sun |
Exploring speed and memory trade-offs for achieving optimum performance on SQuAD dataset |
Renat |
Question Answering System with the Dynamic Coattention Network |
Yi Sun |
A Modular Architecture for Machine Comprehension |
William Arthur Clary |
Reading Comprehension with the SQuAD |
Hugo Andres Valdivia, Miguel Garcia |
Machine Comprehension with Bi-directional and Self—attention Flow |
Ji Yu, Tianpei Qian |
CS224N Project Report: Bidirectional Attention Flow and Self Attention Mechanisms for Machine Comprehensio |
Jervis Jerome Muindi, Richard Ruiqi Yang |
SQuAD Reading Comprehension Task – C8224n Final Project |
Adva Wolf |
Machine Reading Comprehension On SQuAD |
Tian Tan, Don Mai |
A Hybrid Deep Learning System for Machine Comprehension |
Gang Wu |
A Deep Learning System for the Stanford Question Answering Dataset (SQuAD) |
AmirMahdi Ahmadinejad |
Machine Learning Optimization for SQuAD |
Julian Sinohe Villalpando |
Final Project Report: SQuAD |
Winston Taojie Wang, Michael Chung |
Question Answering System on the Stanford Question Answering Dataset (SQuAD) |
Richard Akira Heru |
Final default project: questions answering with deep learning |
Denis Ulanov, David Uvalle |
Exploring Deep Learning Solutions for Question-Answering and Reading Comprehension Tasks |
Rodrigo Grabowsky, Kimberly Wijaya |
BiDirectional Attention for Machine Comprehension |
Anand Venkatesan, Ananthakrishnan Ganesan |
Replicating Advances in Question-Answering with Deep Learning and Complex Attention |
Stuart Cornuelle |
Reading Comprehension On SQuAD: An Insight into BiDAF |
Vivekkumar Patel, Shreyash Pandey |
CS 224N Default Final Project: Question Answering |
Raghunath Krishnamurthy |
The SQuAD Challenge – results of several |
Rajeeva Gaur, satyam |
Question Answering with Hybrid Attention Network |
Yicheng Li, Xiuye Gu |
Machine Comprehension using Deep Learning |
Sharman W Tan, Henry Lin |
Machine Reading Comprehension for the SQuAD Dataset using Deep Learning |
Chung Fat Wong |
Question Answering with Bi-directional Attention Flow and Self—Attention |
Olivier Pham, Yuguan Xing |
Question Answering On the SQuAD Dataset |
Jonas Shomorony |
Default Final Project for C8224N – Self—Attention |
Jaak Joonas Uudmae |
GE-BiDAF: A Question Answering model for SQuAD |
binbin xiong, Minfa Wang |
SquaD Reading Comprehension |
Xinyi Jiang |
Machine Comprehension using BiDAF |
Bimal Parakkal |