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

no code implementations • 21 Sep 2023 • Elena Shushkevich, Long Mai, Manuel V. Loureiro, Steven Derby, Tri Kurniawan Wijaya

Nowadays, the use of intelligent systems to detect redundant information in news articles has become especially prevalent with the proliferation of news media outlets in order to enhance user experience.

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

no code implementations • 6 Jan 2023 • Manuel V. Loureiro, Steven Derby, Tri Kurniawan Wijaya

We demonstrate that our approach consistently outperforms other state-of-the-art topic models across coherency metrics and find that the explicit knowledge encoded in the graph-based embeddings provides more coherent topics than the implicit knowledge encoded with the contextualized embeddings of language models.

Language Modelling Topic Models