Chapter 13
Knowledge patterns in corpora
Knowledge patterns (KPs) have evolved as tools for detecting, extracting, and classifying occurrences of conceptual and semantic relations expressed in texts. KPs offer many strengths, including clear identification of relations present. The extraction of relation-containing contexts, often referred to as knowledge-rich, allows users to observe the items participating in the relation and nuances conveyed by other textual elements. Nevertheless, designing and implementing pattern-based approaches is challenging, in part because of patterns’ linguistic (i.e., lexical, grammatical) or paralinguistic nature. KPs must be selected and represented with care for a given use, and their performance may vary. In this chapter, we will explore some benefits and challenges of pattern-based approaches to corpus analysis, and some prospects for future applications.
Article outline
- 1.Key concepts and definitions
- 2.Exploration and application of knowledge patterns
- 2.1Exploration of knowledge patterns
- 2.2Applications of knowledge patterns
- 2.2.1Alternatives and advantages
- 2.2.2Use for corpus analysis
- 2.2.2.1Some challenges of KP use for corpus analysis
- 2.2.3Use for corpus building
- 2.2.4Other uses of KPs
- 3.Preparing patterns for use
- 3.1KP discovery and selection
- 3.1.1Challenges of KP discovery and selection
- 3.2KP representation
- 3.2.1Challenges of KP representation
- 4.Evaluation of pattern-based approaches
- 5.Future directions
-
Notes
Cited by (2)
Cited by two other publications
Faber, Pamela, Pilar León-Araúz, Rossella Resi & Pius ten Hacken
2024.
From specialized knowledge frames to linguistically based ontologies.
Applied Ontology 19:1
► pp. 23 ff.
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Chambó, Santiago & Pilar León Araúz
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