Domain-independent term extraction through domain modelling
Bordea, Georgeta Buitelaar, Paul Polajnar, Tamara
Bordea, Georgeta
Buitelaar, Paul
Polajnar, Tamara
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https://lipn.univ-paris13.fr/tia2013/Proceedings/actesTIA2013.pdf#page=59
http://hdl.handle.net/10379/4130
https://doi.org/10.13025/21109
http://hdl.handle.net/10379/4130
https://doi.org/10.13025/21109
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Publication Date
2013-09-11
Type
Conference Paper
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Citation
Georgeta Bordea, Paul Buitelaar and Tamara Polajnar (2013) Domain-independent term extraction through domain modelling the 10th International Conference on Terminology and Artificial Intelligence (TIA 2013), Paris, France
Abstract
Extracting general or intermediate level terms is a relevant problem that has not received much attention in literature. Current approaches for term extraction rely on contrastive corpora to identify domain-specific terms, which makes them better suited for specialised terms, that are rarely used outside of the domain. In this work,we propose an alternative measure of domain specificity based on term coherence with an automatically constructed domain model. Although previous systems make use of domain-independent features, their performance varies across domains, while our approach displays a more stable behaviour, with results comparable to, or better than, state-of-the-art methods.
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Publisher
10th International Conference on Terminology and Artificial Intelligence
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Attribution-NonCommercial-NoDerivs 3.0 Ireland