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Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought abou
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the CREG data set is re-used, and the methodology is based on global alignment (with sentence alignment features comprising simple agreement, entropy, and alignment error in number of sentences) and the k-nearest neighbor classifier. The new work required additional annotation on the CREG data ...
The main contribution of this article is the provision of a new evaluation method for KOL grading. Firstly, a two-level evaluation index system for KOL was established. Secondly, the importance and annotation of the Index set are set as uncertain variables, and the KOL evaluation model is ...
An essential component regarding the training process of a Machine Learning model in general as well as a decisive factor to model selection, is the availability in terms of data annotation. An ML model can be trained in a supervised or unsupervised fashion with respect to the presence or absen...