Language processing pipelines for knowledge technologies
author: Marko Tadić,
Faculty of Humanities and Social Sciences, University of Zagreb
published: Oct. 6, 2016, recorded: September 2016, views: 1392
published: Oct. 6, 2016, recorded: September 2016, views: 1392
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Description
The Natural Language Processing is usually considered a (pre)processing step in text-based knowledge technologies. To the expected audience of PhD students the tasks, methods and techniques used in composing the full language processing pipelines will be presented. These pipelines cover not only language processing at the basic levels (sentence splitting, tokenization, POS/MSD-tagging), but also higher levels (NERC, syntactic parsing, semantic parsing, sematic role labelling, etc.). The lecture will cover not only theoretical concepts needed to understand these methods and tools, but also a practical demonstration of pipelines developed in some EU-funded projects.
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