Content Order-Controllable MR-to-Text

Content order is critical in natural language generation (NLG) for emphasizing the focus of a generated text passage. In this paper, we propose a novel MR (meaning representation)-to-text method that controls the order of the MR values in a generated text passage based on the given order constraints...

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Bibliographic Details
Main Authors: Keisuke Toyama, Katsuhito Sudoh, Satoshi Nakamura
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10320352/