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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: Aug. 7, 2022, 6:14 p.m.
Thank you seriousran & contributors
View Topic on GitHub:
seriousran/awesome-qa

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Recent Language Models

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

https://openreview.net/pdf?id=r1xMH1BtvB

TinyBERT: Distilling BERT for Natural Language Understanding

https://openreview.net/pdf?id=rJx0Q6EFPB

MINILM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

https://arxiv.org/abs/2002.10957

T5: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

https://arxiv.org/abs/1910.10683

ERNIE: Enhanced Language Representation with Informative Entities

https://arxiv.org/abs/1905.07129

XLNet: Generalized Autoregressive Pretraining for Language Understanding

https://arxiv.org/abs/1906.08237

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

https://arxiv.org/abs/1909.11942

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://arxiv.org/abs/1907.11692

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

https://arxiv.org/pdf/1910.01108.pdf

SpanBERT: Improving Pre-training by Representing and Predicting Spans

https://arxiv.org/pdf/1907.10529v3.pdf

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://arxiv.org/abs/1810.04805

AAAI 2020

TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection

https://arxiv.org/pdf/1911.04118.pdf

ACL 2019

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

https://arxiv.org/pdf/1906.02829v1.pdf

Cognitive Graph for Multi-Hop Reading Comprehension at Scale

https://arxiv.org/pdf/1905.05460v2.pdf

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index

https://arxiv.org/abs/1906.05807

Unsupervised Question Answering by Cloze Translation

https://arxiv.org/abs/1906.04980

SemEval-2019 Task 10: Math Question Answering

https://www.aclweb.org/anthology/S19-2153

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader

https://arxiv.org/abs/1905.07098

Matching Article Pairs with Graphical Decomposition and Convolutions

https://arxiv.org/pdf/1802.07459v2.pdf

Episodic Memory Reader: Learning what to Remember for Question Answering from Streaming Data

https://arxiv.org/abs/1903.06164

Natural Questions: a Benchmark for Question Answering Research

https://ai.google/research/pubs/pub47761

Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension

https://arxiv.org/abs/1811.00232

EMNLP-IJCNLP 2019

Language Models as Knowledge Bases?

https://arxiv.org/pdf/1909.01066v2.pdf

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

https://arxiv.org/pdf/1908.07490v3.pdf

Answering Complex Open-domain Questions Through Iterative Query Generation

https://arxiv.org/pdf/1910.07000v1.pdf

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

https://arxiv.org/pdf/1909.02151v1.pdf

Mixture Content Selection for Diverse Sequence Generation

https://arxiv.org/pdf/1909.01953v1.pdf

A Discrete Hard EM Approach for Weakly Supervised Question Answering

https://arxiv.org/pdf/1909.04849v1.pdf

Arxiv

Investigating the Successes and Failures of BERT for Passage Re-Ranking

https://arxiv.org/abs/1905.01758

BERT with History Answer Embedding for Conversational Question Answering

https://arxiv.org/abs/1905.05412

Understanding the Behaviors of BERT in Ranking

https://arxiv.org/abs/1904.07531

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

https://arxiv.org/abs/1904.02232

End-to-End Open-Domain Question Answering with BERTserini

https://arxiv.org/abs/1902.01718

A BERT Baseline for the Natural Questions

https://arxiv.org/abs/1901.08634

Passage Re-ranking with BERT

https://arxiv.org/abs/1901.04085

SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering

https://arxiv.org/abs/1812.03593

Dataset

ELI5: Long Form Question Answering

https://arxiv.org/abs/1907.09190

Analysis and Parsing for Pre-processing in QA systems

Morphological analysis

https://www.cs.bham.ac.uk/~pjh/sem1a5/pt2/pt…

Events

Jeopardy!

https://www.jeopardy.com

Systems

IBM Watson

https://www.ibm.com/watson/

Facebook DrQA

https://research.fb.com/downloads/drqa/

MIT media lab's Knowledge graph

http://conceptnet.io/

Competitions in QA

Story Cloze Test

http://cs.rochester.edu/~nasrinm/files/Paper…

SQuAD

https://arxiv.org/abs/1606.05250

SQuAD 2.0

https://rajpurkar.github.io/SQuAD-explorer/

TriviaQA

http://nlp.cs.washington.edu/triviaqa/

decaNLP

https://decanlp.com/

DuReader Ver1.

https://ai.baidu.com/broad/introduction

KorQuAD

https://korquad.github.io/KorQuad%201.0/

KorQuAD 2.0

https://korquad.github.io/

CoQA

https://stanfordnlp.github.io/coqa/

Publications

"Learning to Skim Text"

https://arxiv.org/pdf/1704.06877.pdf

"Deep Joint Entity Disambiguation with Local Neural Attention"

https://arxiv.org/pdf/1704.04920.pdf

"BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION"

https://arxiv.org/pdf/1611.01603.pdf

"Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks"

http://nlp.cs.berkeley.edu/pubs/FrancisLanda…

"Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions"

https://ieeexplore.ieee.org/document/6823700/

"Introduction to “This is Watson"

https://ieeexplore.ieee.org/document/6177724/

"A survey on question answering technology from an information retrieval perspective"

https://www.sciencedirect.com/science/articl…

"Question Answering in Restricted Domains: An Overview"

https://www.mitpressjournals.org/doi/abs/10.…

Codes

allenai/bi-att-flow

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.

1.47K
690
3y 4m
Apache-2.0

NLPLearn/QANet

A Tensorflow implementation of QANet for machine reading comprehension

995
315
4y 71d
MIT

HKUST-KnowComp/R-Net

Tensorflow Implementation of R-Net

587
218
4y 1d
MIT

YerevaNN/R-NET-in-Keras

Open R-NET (hy` առնետ 🐁) implementation and detailed analysis: https://git.io/vd8dx

182
93
4y 7m
MIT

hitvoice/DrQA

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

388
104
3y 7m
n/a

google-research/bert

TensorFlow code and pre-trained models for BERT

29.51K
8.33K
11m
Apache-2.0

"BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION"

https://arxiv.org/pdf/1611.01603.pdf

Paper

https://www.microsoft.com/en-us/research/wp-…

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://arxiv.org/abs/1810.04805

Lectures

Question Answering - Natural Language Processing

https://youtu.be/Kzi6tE4JaGo

Slides

scottyih/Slides

32
9
3y 3d
n/a

Question Answering

https://hpi.de/fileadmin/user_upload/fachgeb…

Dataset Collections

dice-group/NLIWOD

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

92
32
11m
AGPL-3.0

karthikncode/nlp-datasets

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

905
263
2y 7m
n/a

Datasets

Websail-NU/CODAH

Repository for the CODAH dataset

18
3
1y 9m
n/a

deepmind/rc-data

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

1.25K
245
5y 105d
Apache-2.0

facebookresearch/ELI5

Scripts and links to recreate the ELI5 dataset.

226
34
11m
n/a

ysu1989/GraphQuestions

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

83
15
5y 4m
n/a

deepmind/narrativeqa

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

384
62
2y 115d
Apache-2.0

Maluuba/newsqa

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

215
48
2y 11m
n/a

AI2 Science Questions v2.1(2017)

http://data.allenai.org/ai2-science-question…

Children's Book Test

https://uclmr.github.io/ai4exams/data.html

LC-QuAD

http://sda.cs.uni-bonn.de/projects/qa-datase…

MS MARCO

http://www.msmarco.org/dataset.aspx

MultiRC

https://cogcomp.org/multirc/

Qestion-Answer Dataset by CMU

http://www.cs.cmu.edu/~ark/QA-data/

SQuAD 2.0

https://rajpurkar.github.io/SQuAD-explorer/

Story cloze test

http://cs.rochester.edu/nlp/rocstories/

TriviaQA

http://nlp.cs.washington.edu/triviaqa/

WikiQA

https://www.microsoft.com/en-us/download/det…

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

"Unsupervised Entity-Relation Analysis in IBM Watson"

http://www.cogsys.org/papers/ACS2015/article…

"WatsonPaths: Scenario-based Question Answering and Inference over Unstructured Information"

http://domino.watson.ibm.com/library/Cyberdi…

"Medical Relation Extraction with Manifold Models"

http://acl2014.org/acl2014/P14-1/pdf/P14-107…

MS Research's publication within 5 years

"FigureQA: An Annotated Figure Dataset for Visual Reasoning"

https://arxiv.org/abs/1710.07300

"Stacked Attention Networks for Image Question Answering"

https://www.cv-foundation.org/openaccess/con…

"Question Answering with Knowledge Base, Web and Beyond"

https://www.microsoft.com/en-us/research/pub…

"NewsQA: A Machine Comprehension Dataset"

https://arxiv.org/abs/1611.09830

"Table Cell Search for Question Answering"

https://dl.acm.org/citation.cfm?id=2883080

"WIKIQA: A Challenge Dataset for Open-Domain Question Answering"

https://www.microsoft.com/en-us/research/wp-…

"Web-based Question Answering: Revisiting AskMSR"

https://www.microsoft.com/en-us/research/wp-…

"Open Domain Question Answering via Semantic Enrichment"

https://dl.acm.org/citation.cfm?id=2741651

"An Overview of Microsoft Deep QA System on Stanford WebQuestions Benchmark"

https://www.microsoft.com/en-us/research/wp-…

Google AI's publication within 5 years

"QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"

https://openreview.net/pdf?id=B14TlG-RW

"Ask the Right Questions: Active Question Reformulation with Reinforcement Learning"

https://openreview.net/pdf?id=S1CChZ-CZ

"Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors"

https://arxiv.org/pdf/1612.04342.pdf

"An efficient framework for learning sentence representations"

https://arxiv.org/pdf/1803.02893.pdf

"Did the model understand the question?"

https://arxiv.org/pdf/1805.05492.pdf

"Analyzing Language Learned by an Active Question Answering Agent"

https://arxiv.org/pdf/1801.07537.pdf

"Learning Recurrent Span Representations for Extractive Question Answering"

https://arxiv.org/pdf/1611.01436.pdf

"Neural Paraphrase Identification of Questions with Noisy Pretraining"

https://arxiv.org/pdf/1704.04565.pdf

Facebook AI Research's publication within 5 years

Embodied Question Answering

https://research.fb.com/publications/embodie…

Do explanations make VQA models more predictable to a human?

https://research.fb.com/publications/do-expl…

Neural Compositional Denotational Semantics for Question Answering

https://research.fb.com/publications/neural-…

Reading Wikipedia to Answer Open-Domain Questions

https://cs.stanford.edu/people/danqi/papers/…

Links

Building a Question-Answering System from Scratch— Part 1

https://towardsdatascience.com/building-a-qu…

Qeustion Answering with Tensorflow By Steven Hewitt, O'REILLY, 2017

https://www.oreilly.com/ideas/question-answe…

Why question answering is hard

http://nicklothian.com/blog/2014/09/25/why-q…