# EventKG+Click: A Dataset of Language-specific Event-centric User Interaction Traces

arXiv: https://arxiv.org/abs/2010.12370 · HTML: https://mlsanity.com/paper/2010.12370/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Oct 2020.

## Built on by (most cited first, 5 of 5)

- [What is Event Knowledge Graph: A Survey](https://mlsanity.com/paper/2112.15280/) (2021)
- [Classification of Cross-cultural News Events](https://mlsanity.com/paper/2301.05543/) (2023)
- [OEKG: The Open Event Knowledge Graph](https://mlsanity.com/paper/2302.14688/) (2023)
- [Detection of Dangerous Events on Social Media: A Perspective Review](https://mlsanity.com/paper/2204.01351/) (2022)
- [LaSER: Language-Specific Event Recommendation](https://mlsanity.com/paper/2303.04712/) (2023)

## Abstract (arXiv)

An increasing need to analyse event-centric cross-lingual information calls for innovative user interaction models that assist users in crossing the language barrier. However, datasets that reflect user interaction traces in cross-lingual settings required to train and evaluate the user interaction models are mostly missing. In this paper, we present the EventKG+Click dataset that aims to facilitate the creation and evaluation of such interaction models. EventKG+Click builds upon the event-centric EventKG knowledge graph and language-specific information on user interactions with events, entities, and their relations derived from the Wikipedia clickstream.