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
capital_city_weekly is a blog	1111	06-jul-2018	100.0
ichu is a conference	1111	06-jul-2018	98.8
class_allies is a machine-learning conference	1111	06-jul-2018	94.5
iron_door_glass is a building material	1111	06-jul-2018	96.9
grimsby is a transportation port	1111	06-jul-2018	100.0
riverdale_zoo is a zoo in the city toronto	1116	12-sep-2018	100.0
nvidia_unveils_mobile_chip__faster__than_ps3__5_fast_facts_about_the_tegra_k1 was in las_vegas	1116	12-sep-2018	100.0
heals is a clothing item to go with jeans	1111	06-jul-2018	98.4
ne is a sate or province located in the country usa	1116	12-sep-2018	100.0
mesa is the capital city of the state or province az	1116	12-sep-2018	100.0