Publications by Angeliki Romanou

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In the era of misinformation and information inflation, the credibility assessment of the produced news is of the essence. However, fact-checking can be challenging considering the limited references presented in the news. This challenge can be transcended ...

Understanding narratives requires reasoning about the cause-and-effect relationships between events mentioned in the text. While existing foundation models yield impressive results in many NLP tasks requiring reasoning, it is unclear whether they understan ...

We demonstrate the SciLens News Platform, a novel system for evaluating the quality of news articles. The SciLens News Platform automatically collects contextual information about news articles in real-time and provides quality indicators about their valid ...

Transformer-based language models trained on large text corpora have enjoyed immense popularity in the natural language processing community and are commonly used as a starting point for downstream tasks. While these models are undeniably useful, it is a c ...

Angeliki Romanou

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On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs

CRAB: Assessing the Strength of Causal Relationships Between Real-World Events

SciLens News Platform: A System for Real-Time Evaluation of News Articles

Interpreting Language Models Through Knowledge Graph Extraction