Metalinguistic Information Extraction for Terminology
Carlos Rodriguez
TL;DR
This paper introduces the MOP system for automatically extracting metalinguistic information from scientific texts to update terminologies and knowledge bases dynamically.
Contribution
It presents a novel system, MOP, for extracting metalinguistic data to improve the maintenance of scientific and technical terminologies.
Findings
MOP effectively extracts metalinguistic information from scientific documents.
The system supports updating glossaries and ontologies.
It demonstrates potential for managing dynamic domain knowledge.
Abstract
This paper describes and evaluates the Metalinguistic Operation Processor (MOP) system for automatic compilation of metalinguistic information from technical and scientific documents. This system is designed to extract non-standard terminological resources that we have called Metalinguistic Information Databases (or MIDs), in order to help update changing glossaries, knowledge bases and ontologies, as well as to reflect the metastable dynamics of special-domain knowledge.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Semantic Web and Ontologies