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 V. 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). By using a tree transducer cascade as its basic architecture, our system propagates uncertainty from multiple sources (e.g. coreference resolution or verb interpretation) until it can be confidently resolved. Experiments show the first-ever results 43… Expand
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