Semi-Supervised Clustering for Short Answer Scoring

Finding a Tradeoff between Accuracy and Rater's Workload in Grading Clustered Short Answers

n this paper we investigate the potential of answer clustering for semi-automatic scoring of short answer questions for German as a foreign language. We use surface features like word and character n-grams to cluster ans…

Reducing Annotation Efforts in Supervised Short Answer Scoring

Relaxed Oracles for Semi-Supervised Clustering

Pairwise "same-cluster" queries are one of the most widely used forms of supervision in semi-supervised clustering. However, it is impractical to ask human oracles to answer every query correctly. In this paper, we study…

ProtSi: Prototypical Siamese Network with Data Augmentation for Few-Shot Subjective Answer Evaluation

Subjective answer evaluation is a time-consuming and tedious task, and the quality of the evaluation is heavily influenced by a variety of subjective personal characteristics. Instead, machine evaluation can effectively …

Semi-supervised Clustering for Short Text via Deep Representation Learning

In this work, we propose a semi-supervised method for short text clustering, where we represent texts as distributed vectors with neural networks, and use a small amount of labeled data to specify our intention for clust…