Inspiration
We were overwhelmed and frustrated about the varying numbers of a news article on the internet which had their own biases and told their own story.
What it does
Summarizes and removes biases from news articles.
How we built it
We built parts of it but we couldn't merge to create a working prototype.
Challenges we ran into
Javascript and figuring out the chrome extension.
Accomplishments that we're proud of
We found a way to generate abstractive summary news using state-of-the-art research language models.
What we learned
Learned about new language models and libraries.
What's next for News Summarizer
We want to build a working prototype to get feedback.
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