TransNets for Review GenerationDownload PDF

12 Feb 2018, 05:44 (modified: 04 Jun 2018, 15:00)ICLR 2018 Workshop SubmissionReaders: Everyone
Keywords: Review Text Generation, Student Teacher architectures
TL;DR: We show how a student-teacher like architecture can be used to rapidly build a review generator with a low perplexity score.
Abstract: In recommender systems, review generation is increasingly becoming an important task. Previously proposed neural models concatenate the user and item information to each timestep of an RNN to steer it towards generating their specific review. In this paper, we show how a student-teacher like architecture can be used to rapidly build a review generator with a low perplexity score.
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