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Found 5 papers, 3 papers with code
Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable Answers
In this paper, we present the current progress of the project Verif. ai, an open-source scientific generative question-answering system with referenced and verified answers.
Multilingual transformer and BERTopic for short text topic modeling: The case of Serbian
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.
De-identification of clinical free text using natural language processing: A systematic review of current approaches
Machine learning (37 studies) and hybrid (26 studies) approaches are predominant, while six studies relied only on rules.
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts
Supervised named entity recognition (NER) in the biomedical domain depends on large sets of annotated texts with the given named entities.
Stemmer for Serbian language
In linguistic morphology and information retrieval, stemming is the process for reducing inflected (or sometimes derived) words to their stem, base or root form; generally a written word form.
