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Solving Geometry Problems: Combining Text and Diagram Interpretation.

, , , , and . EMNLP, page 1466-1476. The Association for Computational Linguistics, (2015)

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Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering., , , and . CoRR, (2019)Solving Geometry Problems: Combining Text and Diagram Interpretation., , , , and . EMNLP, page 1466-1476. The Association for Computational Linguistics, (2015)Neural Speed Reading via Skim-RNN., , , and . ICLR (Poster), OpenReview.net, (2018)Mixture Content Selection for Diverse Sequence Generation., , and . EMNLP/IJCNLP (1), page 3119-3129. Association for Computational Linguistics, (2019)Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension., , , , and . EMNLP, page 559-564. Association for Computational Linguistics, (2018)Query-Reduction Networks for Question Answering., , , and . ICLR (Poster), OpenReview.net, (2017)Query-Regression Networks for Machine Comprehension., , and . CoRR, (2016)Bidirectional Attention Flow for Machine Comprehension., , , and . CoRR, (2016)Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index., , , , , and . ACL (1), page 4430-4441. Association for Computational Linguistics, (2019)Diagram Understanding in Geometry Questions., , , and . AAAI, page 2831-2838. AAAI Press, (2014)