93 citations · 131 across the 10 of their papers we have counts for
11 papers
Code-mixed Sentiment and Hate-speech Prediction
Anjali Yadav, Tanya Garg, Matej Klemen +3
Code-mixed discourse combines multiple languages in a single text. It is commonly used in informal discourse in countries with several official languages, but also in many other co…
One model to rule them all: ranking Slovene summarizers
Aleš Žagar, Marko Robnik-Šikonja
Text summarization is an essential task in natural language processing, and researchers have developed various approaches over the years, ranging from rule-based systems to neural…
Unified Question Answering in Slovene
Katja Logar, Marko Robnik-Šikonja
Question answering is one of the most challenging tasks in language understanding. Most approaches are developed for English, while less-resourced languages are much less researche…
Sequence to sequence pretraining for a less-resourced Slovenian language
Matej Ulčar, Marko Robnik-Šikonja
Large pretrained language models have recently conquered the area of natural language processing. As an alternative to predominant masked language modelling introduced in BERT, the…
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…
Slovene SuperGLUE Benchmark: Translation and Evaluation
Aleš Žagar, Marko Robnik-Šikonja
We present a Slovene combined machine-human translated SuperGLUE benchmark. We describe the translation process and problems arising due to differences in morphology and grammar. W…
Extracting and filtering paraphrases by bridging natural language inference and paraphrasing
Matej Klemen, Marko Robnik-Šikonja
Paraphrasing is a useful natural language processing task that can contribute to more diverse generated or translated texts. Natural language inference (NLI) and paraphrasing share…
Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles
Boshko Koloski, Timen Stepišnik-Perdih, Marko Robnik-Šikonja +2
Increasing amounts of freely available data both in textual and relational form offers exploration of richer document representations, potentially improving the model performance a…
Cross-lingual alignments of ELMo contextual embeddings
Matej Ulčar, Marko Robnik-Šikonja
Building machine learning prediction models for a specific NLP task requires sufficient training data, which can be difficult to obtain for less-resourced languages. Cross-lingual…
Cross-lingual Transfer of Abstractive Summarizer to Less-resource Language
Aleš Žagar, Marko Robnik-Šikonja
Automatic text summarization extracts important information from texts and presents the information in the form of a summary. Abstractive summarization approaches progressed signif…
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification
Blaž Škrlj, Jan Kralj, Janez Konc +2
Network node embedding is an active research subfield of complex network analysis. This paper contributes a novel approach to learning network node embeddings and direct node class…