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Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems.

, , , and . EMNLP, page 297-306. The Association for Computational Linguistics, (2016)

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Learning Components for A Question-Answering System., , , , , , , , and . TREC, Special Publication 500-250, National Institute of Standards and Technology (NIST), (2001)Raising the baseline for high-precision text classifiers., and . KDD, page 400-409. ACM, (2007)Combining Heterogeneous Models for Measuring Relational Similarity., , , , and . HLT-NAACL, page 1000-1009. The Association for Computational Linguistics, (2013)Be Consistent! Improving Procedural Text Comprehension using Label Consistency., , , , , , and . NAACL-HLT (1), page 2347-2356. Association for Computational Linguistics, (2019)Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision., , and . EMNLP, page 2368-2378. Association for Computational Linguistics, (2017)Adaptive near-duplicate detection via similarity learning., , and . SIGIR, page 419-426. ACM, (2010)A Linear Programming Formulation for Global Inference in Natural Language Tasks., and . CoNLL, page 1-8. ACL, (2004)Embedding Entities and Relations for Learning and Inference in Knowledge Bases., , , , and . ICLR (Poster), (2015)Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study., , , and . EMNLP/IJCNLP (1), page 5446-5457. Association for Computational Linguistics, (2019)Search-based Neural Structured Learning for Sequential Question Answering., , and . ACL (1), page 1821-1831. Association for Computational Linguistics, (2017)