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

While automatic term extraction is a well-researched area, computational approaches to
distinguish between degrees of technicality are still understudied. We semi-automatically …

We introduce SURel, a novel dataset with human-annotated meaning shifts between
general-language and domain-specific contexts. We show that meaning shifts of term …

La tecnología IoT es uno de los pilares clave de la cuarta revolución industrial porque tiene
un importante potencial en innovaciones y beneficios útiles para toda la población. Sus …

A terminology is the entirety of concepts which constitute the vocabulary of a domain or
subject field. Automatically identifying various linguistic forms of terms in domain-specific …

Predicting the difficulty of domain-specific vocabulary is an important task towards a better
understanding of a domain, and to enhance the communication between lay people and …

The paper addresses the problem of automatic identification of phrases to be included in
back-of-book indexes. We analyzed books in Polish and English published with subject …

Automatic term extraction is a branch of Natural Language Processing (NLP) used to
automatically generate lexicographic materials, such as glossaries, vocabularies, and …

The authors of the article analyze the Russian and English phraseological terms in the field
of construction and architecture and reveal the absolutely identical, full and partial …

Analiza danych tekstowych - Łaczenie informacji lingwistycznych i danych ilosciowych Page 1
Analiza danych tekstowych Łączenie informacji lingwistycznych i danych ilościowych …