A Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts

@article{Shakeel2019AMM,
  title={A Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts},
  author={Muhammad Haroon Shakeel and Asim Karim and Imdadullah Khan},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.12068}
}
Paraphrase detection is an important task in text analytics with numerous applications such as plagiarism detection, duplicate question identification, and enhanced customer support helpdesks. Deep models have been proposed for representing and classifying paraphrases. These models, however, require large quantities of human-labeled data, which is expensive to obtain. In this work, we present a data augmentation strategy and a multi-cascaded model for improved paraphrase detection in short… CONTINUE READING

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