A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
A dataset of paraphrased robot commands and their logical representations
The official repository for the paper "Paraphrase Detection: Human vs. Machine Content".
Paraphrase Datasets: contains researches and links to datasets that can be used to sentence paraphrase model training
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