Information Extraction BT - Machine Learning for Text

  • Aggarwal C
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Abstract

In its most basic form, text is a sequence of tokens, which is not annotated with the properties of these tokens. The goal of information extraction is to discover specific types of useful properties of these tokens and their interrelationships relationships.

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Aggarwal, C. C. (2018). Information Extraction BT - Machine Learning for Text. In C. C. Aggarwal (Ed.), Machine Learning for Text (pp. 381–411). Springer International Publishing. Retrieved from https://doi.org/10.1007/978-3-319-73531-3_12

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