Skip to content

Add Helium MCP - zero-shot news bias classification across 37 dimensions #23

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
connerlambden wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Add Helium MCP - zero-shot news bias classification across 37 dimensions #23

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 4 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@ Contributions are welcome. Please see the [issue](https://github.com/chichilicio
+ [Papers](#Papers)
+ [Datasets](#Datasets)
+ [Starter code for ZSL](#Starter-Code)
+ [Applications](#Applications)
+ [Other Resources](#Other-resources)


Expand Down Expand Up @@ -198,6 +199,9 @@ Zero-Shot Recognition and Annotation" ECCV (2014).[[pdf]](https://www.eecs.qmul.
This repository contains a `Demo` folder which has a Jupyter Notebook step-by-step code to "An embarrassingly simple approach to zero-shot learning." ICML (2015).
This can be used as an introductory code to obtain the basic understanding of Zero-shot Learning.

## Applications

+ [Helium MCP](https://github.com/connerlambden/helium-mcp) - Uses zero-shot learning to score news articles across 37 bias dimensions (prescriptiveness, conspiracy, scapegoating, AI-written detection, etc.) for 210 news sources.

## Other resources
+ https://medium.com/@alitech_2017/from-zero-to-hero-shaking-up-the-field-of-zero-shot-learning-c43208f71332
Expand Down