Language Modeling by Clustering with Word Embeddings for Text Readability Assessment

@article{Cha2017LanguageMB,
  title={Language Modeling by Clustering with Word Embeddings for Text Readability Assessment},
  author={Miriam Cha and Youngjune Gwon and H. T. Kung},
  journal={Proceedings of the 2017 ACM on Conference on Information and Knowledge Management},
  year={2017}
}
  • Miriam Cha, Youngjune Gwon, H. T. Kung
  • Published 2017
  • Computer Science
  • Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
  • We present a clustering-based language model using word embeddings for text readability prediction. [...] Key Result We also evaluate the task of sentence matching based on semantic relatedness using the Wiki-SimpleWiki corpus and find that our features lead to superior matching performance.Expand Abstract

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