@inproceedings{huot-etal-2023-text,
title = "Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation",
author = "Huot, Fantine and
Maynez, Joshua and
Narayan, Shashi and
Amplayo, Reinald Kim and
Ganchev, Kuzman and
Louis, Annie Priyadarshini and
Sandholm, Anders and
Das, Dipanjan and
Lapata, Mirella",
editor = "Croce, Danilo and
Soldaini, Luca",
booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
month = may,
year = "2023",
address = "Dubrovnik, Croatia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.eacl-demo.13",
doi = "10.18653/v1/2023.eacl-demo.13",
pages = "105--116",
abstract = "While conditional generation models can now generate natural language well enough to create fluent text, it is still difficult to control the generation process, leading to irrelevant, repetitive, and hallucinated content. Recent work shows that planning can be a useful intermediate step to render conditional generation less opaque and more grounded. We present a web browser-based demonstration for query-focused summarization that uses a sequence of question-answer pairs, as a blueprint plan for guiding text generation (i.e., what to say and in what order). We illustrate how users may interact with the generated text and associated plan visualizations, e.g., by editing and modifying the plan in order to improve or control the generated output.A short video demonstrating our system is available at \url{https://goo.gle/text-blueprint-demo}",
}
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<abstract>While conditional generation models can now generate natural language well enough to create fluent text, it is still difficult to control the generation process, leading to irrelevant, repetitive, and hallucinated content. Recent work shows that planning can be a useful intermediate step to render conditional generation less opaque and more grounded. We present a web browser-based demonstration for query-focused summarization that uses a sequence of question-answer pairs, as a blueprint plan for guiding text generation (i.e., what to say and in what order). We illustrate how users may interact with the generated text and associated plan visualizations, e.g., by editing and modifying the plan in order to improve or control the generated output.A short video demonstrating our system is available at https://goo.gle/text-blueprint-demo</abstract>
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%0 Conference Proceedings
%T Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation
%A Huot, Fantine
%A Maynez, Joshua
%A Narayan, Shashi
%A Amplayo, Reinald Kim
%A Ganchev, Kuzman
%A Louis, Annie Priyadarshini
%A Sandholm, Anders
%A Das, Dipanjan
%A Lapata, Mirella
%Y Croce, Danilo
%Y Soldaini, Luca
%S Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F huot-etal-2023-text
%X While conditional generation models can now generate natural language well enough to create fluent text, it is still difficult to control the generation process, leading to irrelevant, repetitive, and hallucinated content. Recent work shows that planning can be a useful intermediate step to render conditional generation less opaque and more grounded. We present a web browser-based demonstration for query-focused summarization that uses a sequence of question-answer pairs, as a blueprint plan for guiding text generation (i.e., what to say and in what order). We illustrate how users may interact with the generated text and associated plan visualizations, e.g., by editing and modifying the plan in order to improve or control the generated output.A short video demonstrating our system is available at https://goo.gle/text-blueprint-demo
%R 10.18653/v1/2023.eacl-demo.13
%U https://aclanthology.org/2023.eacl-demo.13
%U https://doi.org/10.18653/v1/2023.eacl-demo.13
%P 105-116
Markdown (Informal)
[Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation](https://aclanthology.org/2023.eacl-demo.13) (Huot et al., EACL 2023)
ACL
- Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Priyadarshini Louis, Anders Sandholm, Dipanjan Das, and Mirella Lapata. 2023. Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 105–116, Dubrovnik, Croatia. Association for Computational Linguistics.