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Creators/Authors contains: "Gao, Yanjun"

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  1. ; ; (, Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL))
    null (Ed.)
    Pyramid evaluation was developed to assess the content of paragraph length summaries of source texts. A pyramid lists the distinct units of content found in several reference summaries, weights content units by how many reference summaries they occur in, and produces three scores based on the weighted content of new summaries. We present an automated method that is more efficient, more transparent, and more complete than previous automated pyramid methods. It is tested on a new dataset of student summaries, and historical NIST data from extractive summarizers. 
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  2. ; ; ; (, IEEE Transactions on Education)
  3. ; ; ; ; ; ; (, Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications)
    null (Ed.)
    We present a unique dataset of student source-based argument essays to facilitate research on the relations between content, argumentation skills, and assessment. Two classroom writing assignments were given to college students in a STEM major, accompanied by a carefully designed rubric. The paper presents a reliability study of the rubric, showing it to be highly reliable, and initial annotation on content and argumentation annotation of the essays. 
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