◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Grobelnik

9 papers hereh-index 426.9k citations326 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author8

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.IR4
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20112025
most citedA Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines

8 citations · 14 across the 8 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.IR2022

Political and Economic Patterns in COVID-19 News: From Lockdown to Vaccination

Abdul Sittar, Daniela Major, Caio Mello +2

The purpose of this study is to analyse COVID-19 related news published across different geographical places, in order to gain insights in reporting differences. The COVID-19 pande…

cs.IR2022

Analysis of information cascading and propagation barriers across distinctive news events

Abdul Sittar, Dunja Mladenic, Marko Grobelnik

News reporting on events that occur in our society can have different styles and structures as well as different dynamics of news spreading over time. News publishers have the pote…

cs.CL2022★ 8 cited

A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines

Swati Swati, Adrian Mladenić Grobelnik, Dunja Mladenić +1

Predicting the political polarity of news headlines is a challenging task that becomes even more challenging in a multilingual setting with low-resource languages. To deal with thi…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.