Fine-Grained Controllable Text Generation Using Non-Residual Prompting

Fredrik Carlsson; Joey Öhman; Fangyu Liu; Severine Verlinden; Joakim Nivre; Magnus Sahlgren

doi:10.18653/v1/2022.acl-long.471

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Fine-Grained Controllable Text Generation Using Non-Residual Prompting

Fredrik Carlsson Joey Öhman Fangyu Liu Severine Verlinden Joakim Nivre Magnus Sahlgren

Year: 2022 Journal: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

DOI: 10.18653/v1/2022.acl-long.471

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Abstract

Fredrik Carlsson, Joey Öhman, Fangyu Liu, Severine Verlinden, Joakim Nivre, Magnus Sahlgren. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.

Keywords:

Residual Computer science Algorithm

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Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Speech and dialogue systems

Physical Sciences → Computer Science → Artificial Intelligence

Fine-Grained Controllable Text Generation Using Non-Residual Prompting

Abstract

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