Conference paper Open Access

EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article Similarity

Elaine Zosa; Emanuela Boros; Boshko Koloski; Lidia Pivovarova

In this paper, we present the participation of the EMBEDDIA team to the SemEval 2022 Task 8 (Multilingual News Article Similarity). We cover several techniques and propose different methods for finding the multilingual news article similarity by exploring the dataset in its entirety. We take advantage of the textual content of the articles, the provided metadata (e.g., titles, keywords, topics), the translated articles, the images (those that were available), and knowledge graph-based representations for entities and relations present in the articles. We, then, compute the semantic similarity between the different features and predict through regression the similarity scores. Our findings show that, while our researched methods obtained promising results, exploiting the semantic textual similarity with sentence representations is unbeatable. Finally, in the official SemEval 2022 Task 8, we ranked fifth in the overall team ranking cross-lingual results, and second in the English-only results.

91
53
views
downloads
All versions This version
Views 9191
Downloads 5353
Data volume 124.4 MB124.4 MB
Unique views 8686
Unique downloads 5050
More info on how stats are collected.
Indexed in
Publication date:
March 19, 2022
DOI:
10.5281/zenodo.6369944

Zenodo DOI Badge

DOI 

10.5281/zenodo.6369944

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6369944.svg)](https://doi.org/10.5281/zenodo.6369944)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.6369944.svg
   :target: https://doi.org/10.5281/zenodo.6369944

HTML 

<a href="https://doi.org/10.5281/zenodo.6369944"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.6369944.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.5281/zenodo.6369944.svg

Target URL 

https://doi.org/10.5281/zenodo.6369944

Grants:
European Commission:
  • NewsEye - NewsEye: A Digital Investigator for Historical Newspapers (770299)
  • EMBEDDIA - Cross-Lingual Embeddings for Less-Represented Languages in European News Media (825153)
Meeting:
Proceedings of SemEval-2022 Workshop Task 8
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.5281/zenodo.6369944 Mar 19, 2022
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.6369943. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export