An Error Analysis Tool for Natural Language Processing and Applied Machine Learning
Apoorv Agarwal, Ankit Agarwal, Deepak Mittal · International Conference on Computational Linguistics · 2014
In this paper we present a simple to use web based error analysis tool to help computational linguists, researchers building language applications, and non-technical personnel managing development of language tools to analyze the predictions made by their machine learning models. The only expectation is that the users of the tool convert their data into an intuitive XML format. Once the XML is ready, several error analysis functionalities that promote principled feature engineering are a click away.