User Experience on mobile might not be great yet, but I'm working on it.

Your first time on this page? Allow me to give some explanations.

Awesome Question Answering

😎 A curated list of the Question Answering (QA)

Here you can see meta information about this topic like the time we last updated this page, the original creator of the awesome list and a link to the original GitHub repository.

Last Update: Dec. 1, 2020, 12:14 p.m.

Thank you seriousran & contributors
View Topic on GitHub:
seriousran/awesome-qa

Search for resources by name or description.
Simply type in what you are looking for and the results will be filtered on the fly.

Further filter the resources on this page by type (repository/other resource), number of stars on GitHub and time of last commit in months.

Recent Language Models

AAAI 2020

ACL 2019

EMNLP-IJCNLP 2019

Arxiv

Dataset

Analysis and Parsing for Pre-processing in QA systems

Events

champions in 2011.

Systems

Has state-of-the-arts performance.

Applied to the SQuAD1.0 dataset. The SQuAD2.0 dataset has released. but DrQA is not tested yet.

Is a freely-available semantic network, designed to help computers understand the meanings of words that people use.

Competitions in QA

English | Univ. of Rochester | 2016 | msap | Logistic regression | Closed | x |

English | Univ. of Stanford | 2018 | XLNet (single model) |XLNet Team | Closed | o |

English | Univ. of Washington | 2017 | Ming Yan | - | Closed | - |

English | Salesforce Research | 2018 | Salesforce Research | MQAN | Closed | x |

Chinese | Baidu | 2015 | Tryer | T-Reader (single) | Closed | x |

Korean | LG CNS AI Research | 2018 | Clova AI LaRva Team | LaRva-Kor-Large+ + CLaF (single) | Closed | o |

Korean | LG CNS AI Research | 2019 | Kangwon National University | KNU-baseline(single model) | Opened | x |

English | Univ. of Stanford | 2018 | Zhuiyi Technology | RoBERTa + AT + KD (ensemble) | Opened | o |

Publications

Codes

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

1.42K
675
2y 10m
Apache-2.0

A Tensorflow implementation of QANet for machine reading comprehension

990
322
2y 6m
MIT

Tensorflow Implementation of R-Net

581
216
2y 116d
MIT

Open R-NET implementation and detailed analysis: https://git.io/vd8dx

179
93
2y 11m
MIT

A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.

377
97
1y 11m
n/a

TensorFlow code and pre-trained models for BERT

25.94K
7.34K
8m
Apache-2.0

Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hananneh Hajishirzi, ICLR, 2017.

Lectures

By Dragomir Radev, Ph.D. | University of Michigan | 2016.

Slides

28
8
1y 118d
n/a

By Dr. Mariana Neves | Hasso Plattner Institut | 2017.

Dataset Collections

Collection of tools, utilities, datasets and approaches towards realising natural language interfaces for the Web of Data.

85
27
109d
AGPL-3.0

A list of datasets/corpora for NLP tasks, in reverse chronological order.

892
260
3y 117d
n/a

Datasets

Repository for the CODAH dataset

15
4
49d
n/a

Question answering dataset featured in "Teaching Machines to Read and Comprehend

1.23K
241
4y 8m
Apache-2.0

Scripts and links to recreate the ELI5 dataset.

198
26
79d
n/a

A characteristic-rich dataset for factoid question answering described in the paper "On Generating Characteristic-rich Question Sets for QA Evaluation" - EMNLP'16

76
16
3y 8m
n/a

This repository contains the NarrativeQA dataset. It includes the list of documents with Wikipedia summaries, links to full stories, and questions and answers.

371
58
7m
Apache-2.0

Tools for using Maluuba's NewsQA Dataset (public version)

197
45
1y 81d
n/a

English | Univ. of Washington | 2017 | Ming Yan | - | Closed | - |

The DeepQA Research Team in IBM Watson's publication within 5 years

Adam Lally, Sugato Bachi, Michael A. Barborak, David W. Buchanan, Jennifer Chu-Carroll, David A. Ferrucci*, Michael R. Glass, Aditya Kalyanpur, Erik T. Mueller, J. William Murdock, Siddharth Patwardhan, John M. Prager, Christopher A. Welty, IBM Research Report RC25489, 2014.

MS Research's publication within 5 years

Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, Akos Kadar, Adam Trischler, Yoshua Bengio, ICLR, 2018

Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Smola, CVPR, 2016.

Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman, RepL4NLP, 2016.

Sun, Huan and Ma, Hao and He, Xiaodong and Yih, Wen-tau and Su, Yu and Yan, Xifeng, WWW, 2016.

Chen-Tse Tsai, Wen-tau Yih, and Christopher J.C. Burges, MSR-TR, 2015.

Huan Sun, Hao Ma, Wen-tau Yih, Chen-Tse Tsai, Jingjing Liu, and Ming-Wei Chang, WWW, 2015.

Google AI's publication within 5 years

Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le, ICLR, 2018.

Christian Buck and Jannis Bulian and Massimiliano Ciaramita and Wojciech Paweł Gajewski and Andrea Gesmundo and Neil Houlsby and Wei Wang, ICLR, 2018.

Pramod K. Mudrakarta and Ankur Taly and Mukund Sundararajan and Kedar Dhamdhere, ACL, 2018.

Christian Buck and Jannis Bulian and Massimiliano Ciaramita and Wojciech Gajewski and Andrea Gesmundo and Neil Houlsby and Wei Wang, NIPS, 2017.

Kenton Lee and Shimi Salant and Tom Kwiatkowski and Ankur Parikh and Dipanjan Das and Jonathan Berant, ICLR, 2017.

Gaurav Singh Tomar and Thyago Duque and Oscar Täckström and Jakob Uszkoreit and Dipanjan Das, SCLeM, 2017.

Facebook AI Research's publication within 5 years

Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, and Dhruv Batra, CVPR, 2018

Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, and Devi Parikh, EMNLP, 2018

Danqi Chen, Adam Fisch, Jason Weston & Antoine Bordes, ACL, 2017.

Links