The collection of the specialized vocabulary of a particular domain (terminology) is an important initial step of creating formalized domain knowledge representations (ontologies). Terminology extraction (TE) aims at automating this process by collecting the relevant domain vocabulary from existing lexical resources or collections of domain texts. In this chapter, we address the extraction of multiword terminology, as multiword terms are very frequent in terminology, but typically poorly represented in standard lexical resources. We present our method for mining multiword terminology from Wikipedia and the freely available terminology resource that we extracted using the presented method. Terminology extraction based on Wikipedia exploits t...
Terminology Extraction is an important Natural Language Processing task with multiple applications i...
Bilingual dictionaries are usually constructed from large parallel corpora, but since these corpora ...
This paper presents the automatic terminology extraction approach developed within project LIQUID1. ...
Domain terms are a useful resource for tuning both resources and NLP processors to domain specific t...
Purpose A hybrid approach is presented, which combines linguistic and statistical information to sem...
We present a simple but effective method of automatically extracting domain-specific terms using Wik...
Abstract—An ontology is a structured knowledgebase of concepts organized by relations among them. Bu...
Resumen: En este artículo presentamos una aproximación novedosa para obtener la terminología de un d...
Term extraction is an essential task in domain knowledge acquisition. We propose two new measures to...
In this paper we argue that the automatic term extraction procedure is an inherently multifactor pro...
Domain-specific thesauri are high-cost, high-maintenance, high-value knowledge structures. We show h...
This thesis deals with automatic type extraction in English Wikipedia articles and their attributes....
Domain-specific thesauri are high-cost, high-maintenance, high-value knowledge structures. We show h...
Existing term extraction systems have predominantly targeted large and well-written document collect...
The SCATE (Smart Computer-Assisted Translation Environment) research project is a multidisciplinary ...
Terminology Extraction is an important Natural Language Processing task with multiple applications i...
Bilingual dictionaries are usually constructed from large parallel corpora, but since these corpora ...
This paper presents the automatic terminology extraction approach developed within project LIQUID1. ...
Domain terms are a useful resource for tuning both resources and NLP processors to domain specific t...
Purpose A hybrid approach is presented, which combines linguistic and statistical information to sem...
We present a simple but effective method of automatically extracting domain-specific terms using Wik...
Abstract—An ontology is a structured knowledgebase of concepts organized by relations among them. Bu...
Resumen: En este artículo presentamos una aproximación novedosa para obtener la terminología de un d...
Term extraction is an essential task in domain knowledge acquisition. We propose two new measures to...
In this paper we argue that the automatic term extraction procedure is an inherently multifactor pro...
Domain-specific thesauri are high-cost, high-maintenance, high-value knowledge structures. We show h...
This thesis deals with automatic type extraction in English Wikipedia articles and their attributes....
Domain-specific thesauri are high-cost, high-maintenance, high-value knowledge structures. We show h...
Existing term extraction systems have predominantly targeted large and well-written document collect...
The SCATE (Smart Computer-Assisted Translation Environment) research project is a multidisciplinary ...
Terminology Extraction is an important Natural Language Processing task with multiple applications i...
Bilingual dictionaries are usually constructed from large parallel corpora, but since these corpora ...
This paper presents the automatic terminology extraction approach developed within project LIQUID1. ...