2005

1. Analysis of Factoid Questions for Effective Relation August 2005

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2017

1. FastQA: A Simple and Efficient Neural Architecture for Question, 14 Mar 2017
2. Reading Wikipedia to Answer Open-Domain Questions 28 April, 2017 [git repo](https://github.com/facebookresearch/DrQA
3. Denoising Distantly Supervised Open-Domain Question Answering git

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2018

1. QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension, 23 Apr 2018
2. Stochastic Answer Networks for Machine Reading Comprehension, 15 May 2018
3. NEURAL READING COMPREHENSION AND BEYOND thesis 2018
4. A Knowledge-Grounded Neural Conversation Model, 15 Nov 2018

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2019

1. Question Answering with BERT and AnswerVerification 2019
2. Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations
3. SDNET: CONTEXTUALIZEDATTENTION-BASED DEEP NETWORK FOR CONVERSATIONAL QUESTIONAN-SWERING. 2 Jan 2019
4. Learning to Transform, Combine, and Reasonin Open-Domain Question Answering February 11–15, 2019
5. [Question Answering on SQuAD with BERT](Question Answering on SQuAD with BERT) 2019-03-28
6. CoQA: A Conversational Question Answering Challenge, 29 Mar 2019
7. FLOWQA: GRASPINGFLOW INHISTORY FORCONVERSATIONALMACHINECOMPREHENSION , 16 Apr 2019 , on git
8. CS224n Final Project: SQuAD 2.0 with BERT
9. A Simple but Effective Method to Incorporate Multi-turn Contextwith BERT for Conversational Machine Comprehension 30 May 2019
10. Conversing by Reading:Contentful Neural Conversation with On-demand Machine Reading, 7 Jun 2019
11. Multiple Attention Networks with Temporal Convolution for Machine Reading Comprehension12-14 Agust 2019
12. Neural Machine Reading Comprehension:Methods and Trends, 2 Jul 2019
13. Attentive History Selection for ConversationalQuestion Answering 26 Aug 2019
14. TT-Net: Topic Transfer-Based Neural Network forConversational Reading Comprehension, September 3, 2019.
15. Neural Approaches to Conversational AI, 10 Sep 2019
16. Difference-aware Knowledge Selection for Knowledge-groundedConversation Generation git 20 Sep 2019
17. Multi-passage BERT: A Globally Normalized BERT Model forOpen-domain Question Answering, 2 Oct 2019
18. BERT with History Answer Embedding for ConversationalQuestion Answering 27 Oct 2019
19. How to Pre-Train Your Model?Comparison of Different Pre-Training Models for Biomedical Question Answering 2 Nov 2019
20. Who Did They Respond to?Conversation Structure Modeling Using Masked Hierarchical Transformer, 25 Nov 2019
21. Faster Transformers for Document Summarization 2019

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2020

1. From Machine Reading Comprehension to Dialogue State Tracking:Bridging the Gap 13 Apr 2020
2. Machine Reading Comprehension:The Role of Contextualized Language Modelsand Beyond 13 May 2020
3. Conversational Machine Comprehension: a Literature Review 1 Jun 2020
4. GraphFlow: Exploiting Conversation Flow with Graph Neural Networks forConversational Machine Comprehension
5. Exploiting Text Matching Techniques forKnowledge-Grounded Conversation, July 21, 2020.
6. myquestion
7. Knowldege-Grounded-Conversation

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Review

1. mine on ale diskrij goog
2. A Survey on Neural Machine Reading Comprehension 10 Jun 2019
3. Review Conversational Reading Comprehension 6 Nov 2019
4. A Survey on Machine Reading Comprehension:Tasks, Evaluation Metrics, and Benchmark Datasets , 21 Jun 2020

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Datasets

1. MS MARCO: A Human Generated MAchineReading COmprehension Dataset 2016

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Reasoning

1. Dynamically Fused Graph Network for Multi-hop Reasoning August 2, 2019 ==============================================================

Historical evolvment

• ReasoNet: Learning to Stop Reading in Machine Comprehension 20 Jun 2017
• An Empirical Analysis of Multiple-Turn Reasoning Strategiesin Reading Comprehension Tasks 9 Nov 2017
• Stochastic Answer Networks for Machine Reading Comprehension 15 May 2018
• Conversing by Reading:Contentful Neural Conversation with On-demand Machine Reading 7 Jun 2019