TIGS: An Inference Algorithm for Text Infilling with Gradient Search

Introduction

In this work, we propose an iterative inference algorithm based on gradient search, which is the first inference algorithm that can be broadly applied to any neural sequence generative models for text infilling tasks.

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Paper

TIGS: An Inference Algorithm for Text Infilling with Gradient Search, ACL 2019 Paper