The paper explores the relevance of the Text-To-Text Transfer Transformer language model
(T5) for Polish (plT5) to the task of intrinsic and extrinsic keyword extraction from short text …

This paper presents ContextMiner, a novel natural language processing (NLP) framework to
automatically capture contextual features for the purpose of extracting meaningful context …

Medical free-text records store a lot of useful information that can be exploited in developing
computer-supported medicine. However, extracting the knowledge from the unstructured text …

We present a new version of the terminology extraction tool-TermoPL. This version not only
allows the ranking of term candidates but also their semantic grouping. To ensure the results …

In our paper, we address the problem of recognition of irrelevant phrases in terminology lists
obtained with an automatic term extraction tool. We focus on identification of multi-word …

Numerous countries around the world are currently facing challenges associated with the
energy transition. It entails a shift away from using non-renewable resources in the energy …

Terminology extraction procedure usually consists of selecting candidates for terms and
ordering them according to their importance for the given text or set of texts. Depending on …

The paper addresses TermoUD—a language-independent terminology extraction tool.
Itsprevious version, ie TermoPL (Marciniak et al., 2016; Rychlik et al., 2022), uses …

Abstract Natural Language Processing (NLP) is an interdisciplinary approach arose from the
intersection of computer science, artificial intelligence, psychology, and linguistics during the …

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 …