Text data posts
Explore the latest in our mission to build a better world using data science and AI.
Explore the latest in our mission to build a better world using data science and AI.
An introduction to using large language models via the benchmark to a document summarization challenge.
Learn about the winning solutions from the Youth Mental Health Challenge Automated Abstraction and Novel Variables Tracks
Learn how to process text narratives using open-source LLMs for the Youth Mental Health: Automated Abstraction challenge
Meet the winners with the best systems for detecting clinical terms in medical notes.
In this guest post from Veratai, we'll help you get started with the SNOMED CT Entity Linking Challenge!
Introducing the winners of the Unsupervised Wisdom Challenge! Meet the top teams who explored emergency department narratives about older adult falls.
See who kept it the freshest — meet the winners of the Keeping It Fresh competition.
We were so excited about our new civic innovation competition we couldn't help but get started ourselves! The goal for this competition is to use data from Yelp restaurant reviews to narrow the search for health code violations in Boston. Competitors will have access to historical hygiene violation records from the City of Boston — a leader in open government data — and Yelp's consumer reviews. The challenge: Figure out the words, phrases, ratings, and patterns that predict violations, and help public health inspectors do their job better.
Can you use the patterns, words, and phrases in Yelp reviews of restaurants to predict the number of hygeine violations that city health inspectors uncover?
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