Corpus ID: 52011953

Reading Comprehension with Graph-based Temporal-Casual Reasoning

@inproceedings{Sun2018ReadingCW,
  title={Reading Comprehension with Graph-based Temporal-Casual Reasoning},
  author={Y. Sun and Gong Cheng and Yuzhong Qu},
  booktitle={COLING},
  year={2018}
}
Complex questions in reading comprehension tasks require integrating information from multiple sentences. [...] Key Method Our focused approach self-adaptively complements existing solutions; it is automatically triggered only when applicable. Experiments on RACE and MCTest show that state-of-the-art methods are notably improved by using our approach as an add-on.Expand
11 Citations
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs
  • Highly Influenced
  • PDF
Using Natural Language Relations between Answer Choices for Machine Comprehension
  • 3
  • PDF
Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text
  • 7
  • Highly Influenced
  • PDF
Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer
  • Shuaicheng Zhang, Lifu Huang, Qiang Ning
  • Computer Science
  • ArXiv
  • 2021
  • PDF
Semantics-Aware Inferential Network for Natural Language Understanding
  • 1
  • PDF
ForecastQA: Machine Comprehension of Temporal Text for Answering Forecasting Questions
  • PDF
A Survey on Temporal Reasoning for Temporal Information Extraction from Text
  • 7
  • PDF
Evidence Sentence Extraction for Machine Reading Comprehension
  • 28
  • PDF
CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension
  • Cen Chen, Xinjing Huang, +4 authors Yin Zhang
  • Computer Science
  • DASFAA
  • 2021
  • PDF
Knowledge Efficient Deep Learning for Natural Language Processing
  • PDF
...
1
2
...

References

SHOWING 1-10 OF 33 REFERENCES
Modeling Biological Processes for Reading Comprehension
  • 137
  • PDF
Machine Comprehension using Rich Semantic Representations
  • 28
  • PDF
Deep Read: A Reading Comprehension System
  • 217
  • PDF
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
  • 490
  • PDF
CATENA: CAusal and TEmporal relation extraction from NAtural language texts
  • 61
  • PDF
Machine Comprehension with Discourse Relations
  • 50
  • PDF
A Strong Lexical Matching Method for the Machine Comprehension Test
  • 30
  • Highly Influential
  • PDF
Is the Stanford Dependency Representation Semantic?
  • 9
  • PDF
...
1
2
3
4
...