davidberenstein1957/crosslingual-coreference

A multi-lingual approach to AllenNLP CoReference Resolution along with a wrapper for spaCy.

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When analyzing documents, it's common for pronouns (like 'he', 'she', 'it', 'they') or descriptions ('that location', 'these noodles') to refer back to specific people, places, or things mentioned earlier. This tool helps automatically identify these connections, replacing pronouns and ambiguous terms with the clear names they represent. The output is a revised text where these references are resolved, making it much easier to understand who or what is being discussed, especially across multiple languages. Anyone working with text analysis, like researchers, journalists, or legal professionals, will find this valuable for clarifying meaning in their source materials.

111 stars. No commits in the last 6 months.

Use this if you need to automatically clarify references in text, such as resolving pronouns to their proper names, especially across different languages.

Not ideal if your primary goal is simple keyword extraction or if you only work with highly structured data that doesn't contain narrative text.

text-analysis document-understanding information-extraction multilingual-content natural-language-processing
Stale 6m No Package No Dependents
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Adoption 9 / 25
Maturity 16 / 25
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111

Forks

19

Language

Python

License

MIT

Last pushed

Apr 16, 2024

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