Question Answering as Global Reasoning over Semantic Abstractions

@inproceedings{Khashabi2018QuestionAA,
  title={Question Answering as Global Reasoning over Semantic Abstractions},
  author={Daniel Khashabi and Tushar Khot and Ashish Sabharwal and Dan Roth},
  booktitle={AAAI},
  year={2018}
}
We propose a novel method for exploiting the semantic structure of text to answer multiple-choice questions. The approach is especially suitable for domains that require reasoning over a diverse set of linguistic constructs but have limited training data. To address these challenges, we present the first system, to the best of our knowledge, that reasons over a wide range of semantic abstractions of the text, which are derived using off-the-shelf, general-purpose, pre-trained natural language… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 13 CITATIONS

Ordered Tree Decomposition for HRG Rule Extraction

  • Computational Linguistics
  • 2019
VIEW 1 EXCERPT
CITES BACKGROUND

Ordered Tree Decomposition for HRG Rule Extraction

  • Computational Linguistics
  • 2019
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 52 REFERENCES

Modeling Semantic Relations Expressed by Prepositions

  • Transactions of the Association for Computational Linguistics
  • 2013
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2017
VIEW 1 EXCERPT

Similar Papers

Loading similar papers…