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
henri_lefebvre is a male	1111	06-jul-2018	90.7
american_urological_association_annual_meeting is a music festival	1111	06-jul-2018	100.0
daniel_nichols coaches a sports team	1111	06-jul-2018	90.5
fuel_petrol is a refinery product	1112	24-jul-2018	99.5
premier_bird is a vertebrate	1111	06-jul-2018	96.3
the sport baseball was played at n1978_world_series	1116	12-sep-2018	100.0
cable looks like products	1111	06-jul-2018	93.8
activesync is a synonym for microsoft_corporation001	1111	06-jul-2018	93.8
n700 is the number of people injured in the event bombing_of_plaza_de_mayo	1116	12-sep-2018	100.0
waldorf is a hotel in the city new_york	1116	12-sep-2018	100.0