activity
20202026
most citedKnowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles

93 citations · 216 across the 33 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CL2025

The "Right" Discourse on Migration: Analysing Migration-Related Tweets in Right and Far-Right Political Movements

Nishan Chatterjee, Veronika Bajt, Ana Zwitter Vitez +1

The rise of right-wing populism in Europe has brought to the forefront the significance of analysing social media discourse to understand the dissemination of extremist ideologies…

cs.CL2025

A Computational Framework to Identify Self-Aspects in Text

Jaya Caporusso, Matthew Purver, Senja Pollak

This Ph.D. proposal introduces a plan to develop a computational framework to identify Self-aspects in text. The Self is a multifaceted construct and it is reflected in language. W…

cs.CL2025

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation

Boshko Koloski, Senja Pollak, Roberto Navigli +1

Building on the success of Large Language Models (LLMs), LLM-based representations have dominated the document representation landscape, achieving great performance on the document…

cs.CL2025

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies

Blaž Škrlj, Boshko Koloski, Senja Pollak +1

Integrating structured knowledge from Knowledge Graphs (KGs) into Large Language Models (LLMs) enhances factual grounding and reasoning capabilities. This survey paper systematical…

cs.CL2025

Extracting domain-specific terms using contextual word embeddings

Andraž Repar, Nada Lavrač, Senja Pollak

Automated terminology extraction refers to the task of extracting meaningful terms from domain-specific texts. This paper proposes a novel machine learning approach to terminology…