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Learning Structured Representation for Text Classification ...

Learning Structured Representation for Text Classification via Reinforcement Learning Tianyang Zhang? , Minlie Huang?, , Li Zhao . ? Tsinghua National Laboratory for Information Science and Technology Dept. of Computer Science and Technology, Tsinghua University, Beijing 100084, PR China . Microsoft Research Asia . Corresponding Author: (Minlie Huang). Abstract and recursive autoencoders (Socher et al. 2013; 2011; Qian et al. 2015) use pre-specified parsing trees to build Structured Representation Learning is a fundamental problem in natural representations. Attention-based methods (Yang et al. 2016;. language processing. This paper studies how to learn a struc- tured Representation for text Classification .)

gradient methods (Sutton et al. 2000), aiming to maximize the expected reward as shown below. J() = E (s t;a t)˘P (s t;a t)r(s 1a 1 s La L) = X s 1a 1 s La L P (s 1a 1 s La L)R L = X s 1a 1 s La L p(s 1) Y t ˇ (a tjs t)p(s t+1js t;a t)R L = X s 1a 1 s La L Y t ˇ (a tjs t)R L: Note that this reward is computed over just one sample, say X= x ...

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