GENERAL PRINCIPLES TO IMPROVE LITHOLOGICAL TERMINOLOGY

Green Chemistry: Terminology and Principles

Evaluation of Terminology Extractors: Principles and Experiments

We claim that the evaluation of terminology extraction systems cannot rely entirely on the comparison of their results with a reference list, as the very existence of such a list made up independently of any application is highly questionable and as these systems do not yield only actual terms but potential (or candidate) terms. We propose instead to align their results on various corpora, so a...

Should Terminology Principles be re-examined?

Operationalization of terminology for IT applications has revived the Wüsterian approach. The conceptual dimension once more prevails after taking back seat to specialised lexicography. This is demonstrated by the emergence of ontology in terminology. While the Terminology Principles as defined in Felber’s manual and the ISO standards remain at the core of traditional terminology, their computa...

General Terminology Induction in OWL

Automated acquisition, or learning, of ontologies has attracted research attention because it can help ontology engineers build ontologies and give domain experts new insights into their data. However, existing approaches to ontology learning are considerably limited, e.g. focus on learning descriptions for given classes, require intense supervision and human involvement, make assumptions about...

Local-Global Vectors to Improve Unigram Terminology Extraction

The present paper explores a novel method that integrates efficient distributed representations with terminology extraction. We show that the information from a small number of observed instances can be combined with local and global word embeddings to remarkably improve the term extraction results on unigram terms. To do so, we pass the terms extracted by other tools to a filter made of the lo...