CMU Multiple-choice Question Answering System at NTCIR-11 QA-Lab

نویسندگان

  • Di Wang
  • Leonid Boytsov
  • Jun Araki
  • Alkesh Patel
  • Jeff Gee
  • Zhengzhong Liu
  • Eric Nyberg
  • Teruko Mitamura
چکیده

We describe CMU’s UIMA-based modular automatic question answering (QA) system. This system answers multiplechoice English questions for the world history entrance exam. Questions are preceded by short descriptions providing a historical context. Given the context and question-specific instructions, we generate verifiable assertions for each answer choice. These assertions are evaluated using several evidencing modules, which assign a plausibility score to each assertion. These scores are then aggregated to produce the most plausible answer choice. In the NTCIR-11 QALab evaluations, our system achieved 51.6% accuracy on the training set, 47.2% on Phase 1 testing set, and 34.1% on Phase 2 testing set.

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تاریخ انتشار 2014