35 citations · 60 across the 5 of their papers we have counts for
5 papers
Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis
Luka Andrenšek, Boshko Koloski, Andraž Pelicon +3
We investigate zero-shot cross-lingual news sentiment detection, aiming to develop robust sentiment classifiers that can be deployed across multiple languages without target-langua…
Multi-Task Learning for Features Extraction in Financial Annual Reports
Syrielle Montariol, Matej Martinc, Andraž Pelicon +4
For assessing various performance indicators of companies, the focus is shifting from strictly financial (quantitative) publicly disclosed information to qualitative (textual) info…
Ensembling Transformers for Cross-domain Automatic Term Extraction
Hanh Thi Hong Tran, Matej Martinc, Andraz Pelicon +2
Automatic term extraction plays an essential role in domain language understanding and several natural language processing downstream tasks. In this paper, we propose a comparative…
Online Hate: Behavioural Dynamics and Relationship with Misinformation
Matteo Cinelli, Andraž Pelicon, Igor Mozetič +3
Online debates are often characterised by extreme polarisation and heated discussions among users. The presence of hate speech online is becoming increasingly problematic, making n…
Retweet communities reveal the main sources of hate speech
Bojan Evkoski, Andraz Pelicon, Igor Mozetic +2
We address a challenging problem of identifying main sources of hate speech on Twitter. On one hand, we carefully annotate a large set of tweets for hate speech, and deploy advance…