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.
| Original language | English |
|---|---|
| Title of host publication | Handbook of Cognitive Mathematics |
| Publisher | Springer International Publishing |
| Pages | 1053-1081 |
| Number of pages | 29 |
| Volume | 2-2 |
| ISBN (Electronic) | 9783031039454 |
| ISBN (Print) | 9783031039447 |
| DOIs | |
| State | Published - Oct 31 2022 |
Keywords
- Context
- Language comprehension
- Language production
- Neural networks
- Statistical language models
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