tanfiona/CausalNewsCorpus

Repository for Causal News Corpus (LREC 2022) and RECESS (IJCNLP-AACL 2023)

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Emerging

This project helps anyone who needs to identify cause-and-effect relationships within news articles and similar texts. It takes sentences as input and can either tell you if a sentence contains a causal relationship or pinpoint the exact cause, effect, and signal phrases within it. This is useful for researchers, analysts, or anyone working with large volumes of text who needs to understand 'why' events are happening.

No commits in the last 6 months.

Use this if you need to automatically detect and extract cause-and-effect statements from news text to understand relationships between events.

Not ideal if your primary goal is to analyze sentiment, summarize content, or perform other text analysis tasks unrelated to causality.

news-analysis event-causality text-understanding information-extraction discourse-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 13 / 25

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62

Forks

8

Language

Python

License

CC0-1.0

Last pushed

Feb 09, 2024

Commits (30d)

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