Автоматическое Распознавание Терминов

The information used for the extraction of terms can be considered as rather 'inter- nal', i.e. coming from the candidate string itself. This paper presents the incorpora- tion of 'external' …...

In recent years, statistical approaches on ATR (Automatic Term Recognition) have achieved good results. However, there are scopes to improve the performance in extracting terms still further. For example, domain …...

In this paper we propose an integrated knowledge management system in which terminology-based knowledge acquisition, knowledge integration, and XML-based knowledge retrieval are combined using tag information and ontology management tools. …...

Terminological variation is an integral part of the linguistic ability to realise a concept in many ways, but it is typically considered an obstacle to automatic term recognition (ATR) and …...

. Domain specific terms are words carrying special conceptual meanings in a sub- ject field. Automatic term recognition plays an important role in many natural language processing and knowledge engineering …...

Automatic Term Recognition systems extract domain-specific terms from text corpora. Un- fortunately current systems fail to capture the whole of the domain covered by a corpus. To address this problem, …...

AbstractIn this paper, we present a novel approach to multi-word terminology extraction combining a well-known automatic term recognition approach, the C--NC value method, with a contrastive ranking technique, aimed at …...

AbstractIn this paper, we propose a method for automatic term recognition (ATR) which uses the statistical differences of relative frequencies of terms in target domain corpus and elsewhere. Generally, the …...

AbstractIn this paper, we propose a method that combines the principles of automatic term recognition and the distributional hypothesis to identify technology terms from a corpus of scientific publications. We …...