The paper Evaluation and analysis of term scoring methods for term extraction with Suzan Verberne, Maya Sappelli and Wessel Kraaij is selected as one of ACM Computing Reviews' 2016 Best of Computing. Computing Reviews is published by the Association for Computing Machinery (ACM) and the editor-in-chief is Carol Hutchins (New York University).
In the paper, we evaluate five term scoring methods for automatic term extraction on four different types of text collections. We show that extracting relevant terms using unsupervised term scoring methods is possible in diverse use cases, and that the methods are applicable in more contexts than their original design purpose.