Tri Kurniawan Wijaya — accepted AI-conference papers

2024

SPICED: News Similarity Detection Dataset with Multiple Topics and Complexity Levels

Elena Shushkevich, Long Thanh Mai, Manuel V. Loureiro, Steven Derby, Tri Kurniawan Wijaya

COLING 2024main

The proliferation of news media outlets has increased the demand for intelligent systems capable of detecting redundant information in news articles in order to enhance user experience. However, the heterogeneous nature of news can lead to spurious findings in these systems: Simple heuristics such a…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2024

Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networks

Manuel V. Loureiro, Steven Derby, Tri Kurniawan Wijaya

COLING 2024main

Topic models aim to reveal latent structures within a corpus of text, typically through the use of term-frequency statistics over bag-of-words representations from documents. In recent years, conceptual entities — interpretable, language-independent features linked to external knowledge resources —…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗