Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering

作者: Jonathan Berant , Matt Gardner , Ben Bogin , Sanjay Subramanian

DOI:

关键词:

摘要: Answering questions that involve multi-step reasoning requires decomposing them and using the answers of intermediate steps to reach the final answer. However, state-of-the-art …

参考文章(43)
Luke S. Zettlemoyer, Michael Collins, Learning to map sentences to logical form: structured classification with probabilistic categorial grammars uncertainty in artificial intelligence. pp. 658- 666 ,(2005)
John Cocke, Programming languages and their compilers: Preliminary notes Courant Institute of Mathematical Sciences, New York University. ,(1969)
Ilya Sutskever, Wojciech Zaremba, Learning to Execute arXiv: Neural and Evolutionary Computing. ,(2014)
Daniel H. Younger, Recognition and parsing of context-free languages in time n3* Information & Computation. ,vol. 10, pp. 189- 208 ,(1967) , 10.1016/S0019-9958(67)80007-X
Sepp Hochreiter, Jürgen Schmidhuber, Long short-term memory Neural Computation. ,vol. 9, pp. 1735- 1780 ,(1997) , 10.1162/NECO.1997.9.8.1735
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, Li Fei-Fei, ImageNet Large Scale Visual Recognition Challenge International Journal of Computer Vision. ,vol. 115, pp. 211- 252 ,(2015) , 10.1007/S11263-015-0816-Y
Jerry A. Fodor, Zenon W. Pylyshyn, Connectionism and cognitive architecture: a critical analysis Cognition. ,vol. 28, pp. 3- 71 ,(1988) , 10.1016/0010-0277(88)90031-5
Tadao Kasami, An Efficient Recognition and Syntax-Analysis Algorithm for Context-Free Languages Coordinated Science Laboratory, University of Illinois at Urbana-Champaign. ,(1965)
Percy Liang, Michael I. Jordan, Dan Klein, Learning Dependency-Based Compositional Semantics meeting of the association for computational linguistics. ,vol. 39, pp. 590- 599 ,(2011) , 10.1162/COLI_A_00127
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Deep Residual Learning for Image Recognition computer vision and pattern recognition. pp. 770- 778 ,(2016) , 10.1109/CVPR.2016.90