Abstract
This chapter presents advanced methods to address the task of disambiguating textual units and discusses how their performance has been enhanced by employing LLKBs. First, we consider the machine learning paradigm of distant supervision to generate training data, and second, we discuss recent work in Deep Learning on continuous vector space models of KBs and LKBs. We start by introducing the task of Automatic Knowledge Base Construction (AKBC), because it is one of the core tasks considered both within distant supervision and vector space modeling of KBs.
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© 2016 Springer Nature Switzerland AG
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Gurevych, I., Eckle-Kohler, J., Matuschek, M. (2016). Advanced Disambiguation Methods. In: Linked Lexical Knowledge Bases. Synthesis Lectures on Human Language Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-02162-6_5
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DOI: https://doi.org/10.1007/978-3-031-02162-6_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-01034-7
Online ISBN: 978-3-031-02162-6
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