Complex Reading Comprehension Through Question Decomposition.pdf

2211.03277.pdf
Preview of Complex Reading Comprehension Through Question Decomposition
🔗 Source: arxiv.org
📊 Size: 553 KB
📄 Pages: 10 pages
⬇️ Downloads: 89

Summary

Researchers propose a novel learning approach to improve language models' performance on multi-hop reading comprehension questions, which require compositional, symbolic, and arithmetic reasoning capabilities. The approach involves decomposing complex questions into simpler sub-questions using a trainable question decomposer, and then leveraging a reading comprehension model to predict the answer by concatenating the sub-questions with the original question. Experimental results show that the proposed approach outperforms the baseline by 7.2/6.1 absolute F1 points on a hard subset of the DROP dataset, and beats the state-of-the-art model GPT-3 by a large margin.

Description

Researchers propose a novel learning approach to improve language models' performance on multi-hop reading comprehension questions, which require...

Technical Information

  • File Format: PDF
  • File Size: 553 KB
  • Pages: 10
  • Language: EN
  • Total Downloads: 89
  • Last Updated: 2 weeks ago

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