6 citations · 6 across the 4 of their papers we have counts for
5 papers · 1 filter
Challenges in Explaining Pretrained Clinical Text Classifiers
Kristian Miok, Matej Klemen, Blaz Škrlj +1
Explaining the predictions of neural models in clinical NLP remains a significant challenge, especially for complex tasks involving long, unstructured medical texts. While post-hoc…
TT-XAI: Trustworthy Clinical Text Explanations via Keyword Distillation and LLM Reasoning
Kristian Miok, Blaz Škrlj, Daniela Zaharie +1
Clinical language models often struggle to provide trustworthy predictions and explanations when applied to lengthy, unstructured electronic health records (EHRs). This work introd…
Multi-aspect Multilingual and Cross-lingual Parliamentary Speech Analysis
Kristian Miok, Encarnacion Hidalgo-Tenorio, Petya Osenova +2
Parliamentary and legislative debate transcripts provide informative insight into elected politicians' opinions, positions, and policy preferences. They are interesting for politic…
Bayesian Methods for Semi-supervised Text Annotation
Kristian Miok, Gregor Pirs, Marko Robnik-Sikonja
Human annotations are an important source of information in the development of natural language understanding approaches. As under the pressure of productivity annotators can assig…
Prediction Uncertainty Estimation for Hate Speech Classification
Kristian Miok, Dong Nguyen-Doan, Blaž Škrlj +2
As a result of social network popularity, in recent years, hate speech phenomenon has significantly increased. Due to its harmful effect on minority groups as well as on large comm…