Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

@inproceedings{Huang2019CosmosQM,
  title={Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning},
  author={Lifu Huang and Ronan Le Bras and Chandra Bhagavatula and Yejin Choi},
  booktitle={EMNLP/IJCNLP},
  year={2019}
}
Highlight Information
Understanding narratives requires reading between the lines, which in turn, requires interpreting the likely causes and effects of events, even when they are not mentioned explicitly. [...] Key Method To establish baseline performances on Cosmos QA, we experiment with several state-of-the-art neural architectures for reading comprehension, and also propose a new architecture that improves over the competitive baselines. Experimental results demonstrate a significant gap between machine (68.4%) and human…Expand Abstract

References

Publications referenced by this paper.
SHOWING 1-10 OF 47 REFERENCES

Improving language understanding with unsupervised learning

  • Alec Radford, Karthik Narasimhan, Time Salimans, Ilya Sutskever.
  • Technical report, Technical report, OpenAI.
  • 2018
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

The NarrativeQA Reading Comprehension Challenge

VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Language Models are Unsupervised Multitask Learners

VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL