free from the limitations of natural language processing (NLP). In textual disambiguation,
there is a multifaceted approach to the identification of and derivation of context.
Some of the techniques used to derive context include the following:
- The integration of external taxonomies and ontologies
- Proximity analysis
- Homographic resolution
- Subdocument processing
- Associative text resolution
- Acronym resolution
- Simple stop word processing
- Simple word stemming
- Inline pattern recognition
In truth, there are many more facets to the process of textual disambiguation than those
shown. Some of the more important facets of textual disambiguation are shown in Fig.
1.3.9.
Chapter 1.3: The “Great Divide”