LeonardoEmili/Wikifier

Pytorch implementation of a BiLSTM model for the Wikification project.

22
/ 100
Experimental

When you have text and want to automatically link specific words or phrases within it to corresponding Wikipedia articles, this project helps. It takes raw text as input and outputs the same text with annotations, connecting key concepts to their Wikipedia entries. This is useful for researchers, data scientists, or content creators who need to enrich textual data with structured knowledge from Wikipedia.

No commits in the last 6 months.

Use this if you need to automatically identify and link concepts in your text to Wikipedia for better understanding or structured data analysis.

Not ideal if you're looking for a general-purpose natural language understanding tool beyond Wikipedia concept linking.

text-annotation knowledge-graph-building natural-language-processing information-extraction content-enrichment
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 0 / 25

How are scores calculated?

Stars

19

Forks

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 30, 2020

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/LeonardoEmili/Wikifier"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.