A Broad-Coverage Normalization System for Social Media Language

  title={A Broad-Coverage Normalization System for Social Media Language},
  author={Fei Liu and Fuliang Weng and Xiao Jiang},
Social media language contains huge amount and wide variety of nonstandard tokens, created both intentionally and unintentionally by the users. It is of crucial importance to normalize the noisy nonstandard tokens before applying other NLP techniques. A major challenge facing this task is the system coverage, i.e., for any user-created nonstandard term, the system should be able to restore the correct word within its top n output candidates. In this paper, we propose a cognitivelydriven… CONTINUE READING
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