The CW Corpus: A New Resource for Evaluating the Identification of Complex Words

نویسنده

  • Matthew Shardlow
چکیده

The task of identifying complex words (CWs) is important for lexical simplification, however it is often carried out with no evaluation of success. There is no basis for comparison of current techniques and, prior to this work, there has been no standard corpus or evaluation technique for the CW identification task. This paper addresses these shortcomings with a new corpus for evaluating a system’s performance in identifying CWs. Simple Wikipedia edit histories were mined for instances of single word lexical simplifications. The corpus contains 731 sentences, each with one annotated CW. This paper describes the method used to produce the CW corpus and presents the results of evaluation, showing its validity.

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تاریخ انتشار 2013