Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers

@inproceedings{Hopkins2017BeyondSS,
  title={Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers},
  author={Mark Hopkins and Cristian Petrescu-Prahova and Roie Levin and Ronan Le Bras and Alvaro Herrasti and Vidur Joshi},
  booktitle={EMNLP},
  year={2017}
}
We present an approach for answering questions that span multiple sentences and exhibit sophisticated cross-sentence anaphoric phenomena, evaluating on a rich source of such questions -the math portion of the Scholastic Aptitude Test (SAT. [...] Key ResultsExperiments show the first-ever results (43% recall and 91% precision) on SAT algebra word problems. We also apply EUCLID to the public Dolphin algebra question set, and improve the state-of-the-art F 1 -score from 73.9% to 77.0%. Expand Abstract

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Solving General Arithmetic Word Problems

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