ATR4S: toolkit with state-of-the-art automatic terms recognition methods in Scala
N Astrakhantsev - Language Resources and Evaluation, 2018 - Springer
Automatically recognized terminology is widely used for various domain-specific texts
processing tasks, such as machine translation, information retrieval or ontology construction …
processing tasks, such as machine translation, information retrieval or ontology construction …
Methods for automatic term recognition in domain-specific text collections: A survey
Applications related to domain specific text processing often use glossaries and ontologies,
and the main step of such resource construction is term recognition. This paper presents a …
and the main step of such resource construction is term recognition. This paper presents a …
[PDF][PDF] A machine learning approach to automatic term extraction using a rich feature set
In this paper we propose an automatic term extraction approach that uses machine learning
incorporating varied and rich features of candidate terms. In our preliminary experiments, we …
incorporating varied and rich features of candidate terms. In our preliminary experiments, we …
Evaluation of five single-word term recognition methods on a legal English corpus
MJ Marín - Corpora, 2014 - euppublishing.com
Specialised texts are characterised by, amongst other features, the presence of terminology
which conveys domain-specific concepts that are essential for the specialist who is …
which conveys domain-specific concepts that are essential for the specialist who is …
Measuring the degree of specialisation of sub-technical legal terms through corpus comparison.
MJ Marín Pérez - Terminology, 2016 - search.ebscohost.com
One of the most remarkable features of the legal English lexicon is the use of sub-technical
vocabulary, that is, words frequently shared by the general and specialised fields which …
vocabulary, that is, words frequently shared by the general and specialised fields which …
Exploiting wikipedia for information retrieval tasks
Wikipedia-the online encyclopedia-has long been used as a source of information for
researchers, as well as being a subject of research itself. Wikipedia has been shown to be …
researchers, as well as being a subject of research itself. Wikipedia has been shown to be …
[HTML][HTML] Automatic term recognition and legal language: a shorter path to the lexical profiling of legal texts?
MJM Pérez - Handbook of Terminology, 2023 - jbe-platform.com
Natural Language Processing (NLP) tools offer language scholars a wide array of
possibilities to examine, amongst other, the lexicon in any text collection. This research was …
possibilities to examine, amongst other, the lexicon in any text collection. This research was …
Leveraging Wikipedia navigational templates for curating domain-specific fuzzy conceptual bases
Abstract Domain-specific conceptual bases use key concepts to capture domain scope and
relevant information. Conceptual bases serve as a foundation for various downstream tasks …
relevant information. Conceptual bases serve as a foundation for various downstream tasks …
Measuring the degree of specialisation of sub-technical legal terms through corpus comparison: A domain-independent method
MJM Pérez - Terminology. International Journal of Theoretical and …, 2016 - jbe-platform.com
One of the most remarkable features of the legal English lexicon is the use of sub-technical
vocabulary, that is, words frequently shared by the general and specialised fields which …
vocabulary, that is, words frequently shared by the general and specialised fields which …
Exploration of a rich feature set for automatic term extraction
Despite the importance of the term extraction methods and that several efforts have been
devoted to improve them, they still have 4 main problems:(i) noise and silence generation;(ii) …
devoted to improve them, they still have 4 main problems:(i) noise and silence generation;(ii) …