Computational Terminology Field
Jump to navigation
Jump to search
A Computational Terminology Field is a subfield of Terminology Discipline that focuses on Automated Tasks.
- AKA: Computational Terminology, Computational Terminology Discipline.
- See: Terminological Analysis, Terminology Extraction Task, CompuTerm Workshop.
References
2004
- CompuTerm 2004. 3rd International Workshop on Computational Terminology
- QUOTE: Computational Terminology becomes an increasingly important aspect in areas such as text mining, information retrieval, information extraction, summarisation, document management systems, question-answering systems, ontology building, etc. In text mining, the acquisition of new knowledge is best captured in terms as they denote new concepts. Terminological information is paramount to knowledge mining from texts for scientific discovery and competitive intelligence. Currently, scientific needs in emerging scientific domains, such as biomedicine, coupled with the overwhelming amount of textual data published daily, raised an additional interest to the usefulness of terminology acquired and managed systematically and automatically.
… Issues like standardisation of terminological resources, constructing and updating domain specific dictionaries and thesauri, systematic terminology management will be addressed as they are a necessary component of any NLP system dealing with domain-specific literature.
Areas of interest
… on areas of computational terminology such as:
- Mining terminology (NLP techniques for the acquisition and alignment of mono-lingual and multi-lingual terminology)
- Structuring and managing terminology (term variation, term association discovery, term clustering and classification)
- Terminological integration and update of resources (linking of terminological databases, thesauri, ontologies, (semi)-automatic update of terminological resources)
- Applications of terminological information (term oriented IE, IR, QA, summarisation etc)
- Evaluation of terminology
- QUOTE: Computational Terminology becomes an increasingly important aspect in areas such as text mining, information retrieval, information extraction, summarisation, document management systems, question-answering systems, ontology building, etc. In text mining, the acquisition of new knowledge is best captured in terms as they denote new concepts. Terminological information is paramount to knowledge mining from texts for scientific discovery and competitive intelligence. Currently, scientific needs in emerging scientific domains, such as biomedicine, coupled with the overwhelming amount of textual data published daily, raised an additional interest to the usefulness of terminology acquired and managed systematically and automatically.
2003
- (Mitkov, 2003) ⇒ Ruslan Mitkov, editor. (2003). “The Oxford Handbook of Computational Linguistics." Oxford University Press. ISBN:019927634X
- QUOTE: computational terminology: The computer-assisted acquisition, maintenance, or exploitation of terminological data