Monthly Archives: July 2019

Measuring without labels: a different approach to information extraction


Information extraction is a major problem in the fields of natural language processing and web mining, in particular when it comes to evaluating domains where language cannot be taken at face value. In the study recently published on the journal Applied Network Science, Mayank Kejriwal and Rahul Kapoor present a method that can potentially be used to assess the quality of information extraction systems in the analysis such domains, using the case of human trafficking. This article was published as part of the ongoing collection on Modeling, Analyzing and Mining Feature-Rich Networks.