Creating Custom Taggers by Integrating Web Page Annotation and Machine Learning

Srikrishna Raamadhurai, Oskar Kohonen, Teemu Ruokolainen · International Conference on Computational Linguistics · 2014

We present an on-going work on a software package that integrates discriminative machine learning with the open source WebAnnotator system of Tannier (2012). The WebAnnotator system allows users to annotate web pages within their browser with custom tag sets. Meanwhile, we integrate the WebAnnotator system with a machine learning package which enables automatic tagging of new web pages. We hope the software evolves into a useful information extraction tool for motivated hobbyists who have domain expertise on their task of interest but lack machine learning or programming knowledge. This paper presents the system architecture, including the WebAnnotator-based front-end and the machine learning component. The system is available under an open source license.

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