Year: 2026
Type: conference-paper
Abstract: In the paper we present a set of small LLM-based models for solving basic NLP tasks for Bulgarian -POS tagging, Lemmatization, Dependency parsing, Named Entity Recognition, Named Entity Linking, Event Annotation, among others.In order to create fine-tuned models for these tasks, we first pre-train models using architectures like BERT, Modern-BERT, and T5 with different sizes, over Bulgarian data only.For each of the tasks we report our approach towards the fine-tuning, the results from the experiments and also the evaluation.Then we define a way to visualize the results over HTML documents which contain the analyzed texts.Our rationale is as follows: most, if not all SSH research scenarios, need a reliable processing chains that can be customized with respect to the specific needs.These scenarios would also need proper visualization for human observation.We aim to provide such a basic LLM-based toolkit.
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7166545415