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When Are Tree Structures Necessary for Deep Learning of Representations?

, , , and . EMNLP, page 2304-2314. The Association for Computational Linguistics, (2015)

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Generating Natural Language Under Pragmatic Constraints. Lawrence Erlbaum Associates, Hillsdale, NJ, (1988)Automating the Integration of Heterogeneous Databases., and . DG.O, Digital Government Research Center, (2004)Toward Large-Scale Shallow Semantics for Higher-Quality NLP.. CLIN, Grafisch Centrum Amsterdam, (2005)Overview of QA4MRE at CLEF 2011: Question Answering for Machine Reading Evaluation, , , , , , and . CLEF (Notebook Papers/Labs/Workshop), (2011)On the Knowledge Underlying Multimedia Presentations., , and . AAAI Workshop on Intelligent Multimedia Interfaces, page 280-306. AAAI Press / The MIT Press, (1991)When Are Tree Structures Necessary for Deep Learning of Representations?, , and . CoRR, (2015)Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction., , , and . CoRR, (2021)ISI: Automatic Classification of Relations Between Nominals Using a Maximum Entropy Classifier., and . SemEval@ACL, page 222-225. The Association for Computer Linguistics, (2010)STCP: Simplified-Traditional Chinese Conversion and Proofreading., , , and . IJCNLP (System Demonstrations), page 61-64. Association for Computational Linguistics, (2017)Visualizing and Understanding Neural Models in NLP., , , and . HLT-NAACL, page 681-691. The Association for Computational Linguistics, (2016)