Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
top_leaves is a vegetable	1111	06-jul-2018	94.6
two_condenses is a parlour game	1111	06-jul-2018	91.7
manuel_t__aponte is a South American person	1111	06-jul-2018	97.1
lassen_peak_winery is a winery	1111	06-jul-2018	100.0
carlisle_castle is a place of worship	1111	06-jul-2018	97.3
china is a country also known as republic	1111	06-jul-2018	100.0
the companies herald_tribune and new_york compete with eachother	1111	06-jul-2018	100.0
charlesbank_park is a park in the city boston	1116	12-sep-2018	100.0
black_widow is an arthropod as well as widow_spiders also is	1111	06-jul-2018	100.0
anthony was born in the city new_york	1116	12-sep-2018	100.0