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Natural Language Processing
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Machine Reading Comprehension
966 directly classified papers
Papers per year
2015: 2
2016: 2
2017: 23
2018: 51
2019: 118
2020: 122
2021: 144
2022: 107
2023: 111
2024: 117
2025: 140
2026: 29
Papers
ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler
NIPS 2022
Autoformalization with Large Language Models
NIPS 2022
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model
NAACL 2022
Educational Multi-Question Generation for Reading Comprehension
NAACL 2022
Noobs at Semeval-2021 Task 4: Masked Language Modeling for abstract answer prediction
ACL 2021
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
ACL 2021
TIMEDIAL: Temporal Commonsense Reasoning in Dialog
ACL 2021
XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning
ACL 2021
KAAPA: Knowledge Aware Answers from PDF Analysis
AAAI 2021
TSQA: Tabular Scenario Based Question Answering
AAAI 2021
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering
NAACL 2021
TA-MAMC at SemEval-2021 Task 4: Task-adaptive Pretraining and Multi-head Attention for Abstract Meaning Reading Comprehension
ACL 2021
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
ACL 2021
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting
ACL 2021
BiQuAD: Towards QA based on deeper text understanding
ACL 2021
Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval
ACL 2021
UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches
ACL 2021
A Grounded Well-being Conversational Agent with Multiple Interaction Modes: Preliminary Results
ACL 2021
ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering
ACL 2021
Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension
EMNLP 2021
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data
EMNLP 2021
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents
EMNLP 2021
Smoothing Dialogue States for Open Conversational Machine Reading
EMNLP 2021
Mapping probability word problems to executable representations
EMNLP 2021
Fine-grained Semantic Alignment Network for Weakly Supervised Temporal Language Grounding
EMNLP 2021
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