activity
20232026
most citedDe-identification of clinical free text using natural language processing: A systematic review of current approaches

38 citations · 63 across the 8 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2024★ 1 cited

Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs

Daniel Steinigen, Roman Teucher, Timm Heine Ruland +6

Recent advancements in Large Language Models (LLMs) have showcased their proficiency in answering natural language queries. However, their effectiveness is hindered by limited doma…

cs.CL2024

Scientific QA System with Verifiable Answers

Adela Ljajić, Miloš Košprdić, Bojana Bašaragin +3

In this paper, we introduce the VerifAI project, a pioneering open-source scientific question-answering system, designed to provide answers that are not only referenced but also au…

cs.CL2024

How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical Questions

Bojana Bašaragin, Adela Ljajić, Darija Medvecki +3

Large language models (LLMs) have recently become the leading source of answers for users' questions online. Despite their ability to offer eloquent answers, their accuracy and rel…

cs.CL2024★ 23 cited

Multilingual transformer and BERTopic for short text topic modeling: The case of Serbian

Darija Medvecki, Bojana Bašaragin, Adela Ljajić +1

This paper presents the results of the first application of BERTopic, a state-of-the-art topic modeling technique, to short text written in a morphologi-cally rich language. We app…

cs.CL2023★ 38 cited

De-identification of clinical free text using natural language processing: A systematic review of current approaches

Aleksandar Kovačević, Bojana Bašaragin, Nikola Milošević +1

Background: Electronic health records (EHRs) are a valuable resource for data-driven medical research. However, the presence of protected health information (PHI) makes EHRs unsuit…