Continuous word embeddings for detecting local text reuses at the semantic level

@inproceedings{Zhang2014ContinuousWE,
  title={Continuous word embeddings for detecting local text reuses at the semantic level},
  author={Qi Zhang and Jihua Kang and Jin Qian and Xuanjing Huang},
  booktitle={SIGIR},
  year={2014}
}
Text reuse is a common phenomenon in a variety of user-generated content. Along with the quick expansion of social media, reuses of local text are occurring much more frequently than ever before. The task of detecting these local reuses serves as an essential step for many applications. It has attracted extensive attention in recent years. However, semantic level similarities have not received consideration in most previous works. In this paper, we introduce a novel method to efficiently detect… CONTINUE READING
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et al

  • T. Jaakkola, D. Haussler
  • Exploiting generative models in discriminative…
  • 1999
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