A list of recent papers about Knowledge-based Machine Reading Comprehension (KMRC).
Contributed by Luxi Xing, Yuqiang Xie and Wei Peng.
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.
Update on Nov. 7, 2021.
| Title | Publish | Tasks | Links |
|---|---|---|---|
| Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension | ACL 2017 |
SCT | paper |
| World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions | EMNLP 2017 |
Rare Entity Prediction | paper |
| Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge | ACL 2018 |
Common Nouns | paper note |
| A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task | COLING 2018 |
SCT | paper |
| Incorporating Structured Commonsense Knowledge in Story Completion | AAAI 2018 |
SCT | paper |
| Story Ending Prediction by Transferable BERT | IJCAI 2019 |
SCT | paper |
| Toward Better Storylines with Sentence-Level Language Models | ACL 2020 |
SCT | paper |
| Title | Publish | Tasks | Links |
|---|---|---|---|
| Dynamic Integration of Background Knowledge in Neural NLU Systems | 2018 | SQuAD/ TriviaQA |
paper note |
| Explicit Utilization of General Knowledge in Machine Reading Comprehension | ACL 2019 |
SQuAD | paper note |
| Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension | ACL 2019 |
SQuAD/ ReCoRD |
paper note |
| Machine Reading Comprehension Using Structural Knowledge Graph-aware Network | EMNLP 2019 short |
ReCoRD | paper |
+ SG-Net: Syntax-Guided Machine Reading Comprehension |
AAAI 2020 |
SQuAD2.0 RACE |
paper |
+ Semantics-aware BERT for Language Understanding |
AAAI 2020 |
SQuAD2.0 | paper |
+ Entities as Experts: Sparse Memory Access with Entity Supervision |
2020 | TriviaQA | paper |
+ Semantics-Aware Inferential Network for Natural Language Understanding |
2020 | * | paper |
+indicates works regarding injecting knowledge to improve performance on the datasets not included in this summary.
| Title | Publish | Tasks | Links |
|---|---|---|---|
| Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension | SemEval 2018 |
SemEval-2018 Task 11 | paper code |
| Improving Question Answering by Commonsense-Based Pre-Training | AAAI 2019 |
ARC/ OpenBookQA/ SemEval-2018 Task 11 |
paper |
| Improving Machine Reading Comprehension with General Reading Strategies | NAACL 2019 |
ARC/ OpenBookQA/ MCTest/ SemEval-2018 Task 11/ SCT/ MultiRC |
paper code |
| Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs | NAACL 2019 |
story commonsense | paper code |
| Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning | CIKM 2019 |
SemEval-2018 Task 11 / SCT | paper |
| Explain Yourself! Leveraging Language Models for Commonsense Reasoning | ACL 2019 |
CSQA | paper code note |
| Careful Selection of Knowledge to solve Open Book Question Answering | ACL 2019 |
OpenBookQA | paper |
| Improving Question Answering with External Knowledge | EMNLP MRQA 2019 |
ARC/ OpenBookQA |
paper note |
| KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning | EMNLP 2019 |
CSQA | paper code note |
| What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering | EMNLP 2019 |
OpenBookQA | paper note |
| BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge | EMNLP COIN 2019 |
MCScripts v2 | paper |
| Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models | 2019 | CSQA WSC |
paper |
| Abductive Reasoning as Self-Supervision for Common Sense Question Answering | 2019 | Swag HellaSwag |
paper |
| Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering | 2019 | ANLI/ SocialIQA |
paper note |
| Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering | AAAI 2020 |
CSQA | paper note |
| K-ADAPTER: Infusing Knowledge into Pre-Trained Models with Adapters | 2020 | CosmosQA | paper note |
| Unsupervised Commonsense Question Answering with Self-Talk | 2020 | CSQA SIQA |
paper note |
| L2R2: Leveraging Ranking for Abductive Reasoning | SIGIR 2020 |
ANLI | paper |
| Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering | ACL 2020 |
MultiRC QASC |
paper |
| Logic-Guided Data Augmentation and Regularization for Consistent Question Answering | ACL 2020 |
WIQA QuaREL |
paper |
| A Frame-based Sentence Representation for Machine Reading Comprehension | ACL 2020 |
MCTest | paper |
| Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension | COLING 2020 |
MCTest | paper |
| Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering | 2020 | CSQA OBQA |
paper |
| Fusing Context Into Knowledge Graph for Commonsense Reasoning | 2020 | CSQA | paper |
| QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering | NAACL 2021 |
CSQA OBQA |
[paper] |
| Generated Knowledge Prompting for Commonsense Reasoning | 2021 | CSQA QASC CSQA2 |
paper |
| GNN is a Counter? Revisiting GNN for Question Answering | 2021 | CSQA OBQA |
paper |
Also known as Free-form Answer Tasks
| Title | Publish | Tasks | Links |
|---|---|---|---|
| Commonsense for Generative Multi-Hop Question Answering Tasks | EMNLP 2018 |
NarrativeQA/ WikiHop |
paper code note |
| COMET: Commonsense Transformers for Automatic Knowledge Graph Construction | ACL 2019 |
Atomic | paper code note |
| Incorporating External Knowledge into Machine Reading for Generative Question Answering | EMNLP 2019 |
MS MARCO | paper note |
| Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder | EMNLP 2019 |
Event2Mind | paper |
| Dynamic Knowledge Graph Construction for Zero-shot Commonsense Question Answering | 2019 | SocialIQA StoryCommonsense |
paper |
| Injecting Numerical Reasoning Skills into Language Models | ACL 2020 |
DROP | paper |