yxuansu/PlanGen
[EMNLP'21] Plan-then-Generate: Controlled Data-to-Text Generation via Planning
This project helps generate natural language descriptions from structured data like tables, ensuring the output text follows a specific logical flow and structure. It takes structured data as input and produces coherent, controlled textual summaries or descriptions. This tool is for researchers and developers working on advanced data-to-text generation systems who need to control the output's structure and content precisely.
No commits in the last 6 months.
Use this if you are a researcher or NLP engineer looking to experiment with and implement state-of-the-art methods for controlled data-to-text generation, especially when dealing with structured data like tables.
Not ideal if you are an end-user seeking a ready-to-use application for simple data summarization without needing to build or customize the underlying NLP models.
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Python
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Last pushed
Jun 15, 2022
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