Enriched Dashboard: An Integration and Visualization Tool for Distributed NLP Systems on Heterogeneous Platforms

Abstract

Dashboard is an integration, validation, and visualization tool for Natural Language Processing (NLP) applications. It provides infrastructural facilities using which individual NLP modules may be evaluated and refined, and multiple NLP modules may be combined to build a large end-user NLP system. It helps the system integration team to integrate and validate the NLP system. The tool provides a visualization interface that helps the developers to profile (time and memory) each module. It helps researchers to evaluate and compare their module with the earlier versions of same module. The tool promotes reuse of existing NLP modules. Enriched Dashboard supports execution of modules on heterogeneous platforms. It supports execution of modules that are distributed i.e., located on different machines. It has a powerful notation to define the runtime properties of the NLP modules. It provides an easy-to-use graphical interface that is developed using Eclipse RCP. The user can choose a perspective (view) that allows him to perform his task better. Additionally, Eclipse RCP provides a plugin architecture, hence additional end-user functionalities can be easily added to the tool.