Quantifying Context With and Without Statistical Language Models

Cassandra L. Jacobs
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Cassandra L. Jacobs: University of Wisconsin, Department of Psychology

Chapter 34 in Handbook of Cognitive Mathematics, 2022, pp 1053-1081 from Springer

Abstract: Abstract Context is a driving force behind many cognitive computational models and touches nearly all aspects of human cognition. Moreover, researchers in computational linguistics and natural language processing have increasingly incorporated contextual factors into their models of language. This chapter aims to introduce the reader to the most frequent approaches to quantifying context, from symbolic to statistical approaches. The reader will gain a deeper understanding of the parallels between the different approaches and how they build on each other.

Keywords: Context; Language comprehension; Language production; Neural networks; Statistical language models (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-03945-4_17

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DOI: 10.1007/978-3-031-03945-4_17

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