Process of information extraction (IE) is used to extract useful information from unstructured
or semi-structured data. Big data arise new challenges for IE techniques with the rapid …

Automatic term extraction (ATE) is a Natural Language Processing (NLP) task that eases the
effort of manually identifying terms from domain-specific corpora by providing a list of …

Abstract Automated Term Extraction (ATE), even though well-investigated, continues to be a
challenging task. Approaches conventionally extract terms on corpus or document level and …

Automatic term extraction is a productive field of research within natural language
processing, but it still faces significant obstacles regarding datasets and evaluation, which …

This work describes automatic term extraction approach based on the combination of the
probabilistic topic modelling (PTM) and non-negative matrix factorization (NMF). Topic …

Abstract Automatic Term Extraction (ATE) extracts terminology from domain-specific corpora.
ATE is used in many NLP tasks, including Computer Assisted Translation, where it is …

Domain-specific keyword extraction is a vital task in the field of text mining. There are
various research tasks, such as spam e-mail classification, abusive language detection …

Automatic term extraction (ATE) is a natural language processing task that eases the effort of
manually identifying terms from domain-specific corpora by providing a list of candidate …

Automatic term extraction plays an essential role in domain language understanding and
several natural language processing downstream tasks. In this paper, we propose a …

In recent years, due to the explosive growth of patent applications, patent mining has drawn
extensive attention and interest. An important issue of patent mining is that of recognizing …