GeekDream-x/SemEval2022-Task8-TonyX

Deep-learning system proposed by HFL for SemEval-2022 Task 8: Multilingual News Similarity

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This project helps news analysts, content managers, or media researchers quickly determine how similar two news articles are, even if they're in different languages. You input two news articles, and it outputs a similarity score from 0 to 1, indicating how closely related their content is. This tool is designed for anyone needing to compare news content across multiple languages efficiently.

No commits in the last 6 months.

Use this if you need to quantitatively assess the semantic similarity between news articles, especially when dealing with a mix of different languages.

Not ideal if you require the full augmented dataset for your specific training needs, as it is not provided due to copyright.

news-analysis multilingual-content media-monitoring semantic-comparison content-management
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

40

Forks

6

Language

Python

License

Apache-2.0

Last pushed

Jul 15, 2022

Commits (30d)

0

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