Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation

Autor:	Huot, Fantine, Maynez, Joshua, Narayan, Shashi, Amplayo, Reinald Kim, Ganchev, Kuzman, Louis, Annie, Sandholm, Anders, Das, Dipanjan, Lapata, Mirella
Rok vydání:	2023
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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 blueprint in order to improve or control the generated output. A short video demonstrating our system is available at https://goo.gle/text-blueprint-demo. Comment: Accepted at EACL Call for System Demonstrations 2023
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2305.00034 Zobrazit plný text záznamu View this record from Arxiv