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 …

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 extraction of domain-related terminology from natural language texts is an
important research topic with many practical application scenarios, such as text …

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

Transformer-based language models have led to the investigation of various embedding
and modeling techniques for several downstream natural language processing tasks …

Terminologies of specialized problem domains present an important part of knowledge to be
extracted for various applications, such as construction of thesauri, ontologies, glossaries …