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
michel_oksenberg is a European person	1111	06-jul-2018	100.0
honduran_police is a road accident event	1116	12-sep-2018	92.3
ethane is a refinery product	1115	03-sep-2018	96.8
spotted_ground_squirrel is an animal	1111	06-jul-2018	100.0
megaman_starforce_2__zerker_x_ninja is software	1111	06-jul-2018	100.0
jankovic is an athlete who beat kuznetsova	1115	03-sep-2018	100.0
bob_herbert is a journalist that writes for the publication new_york_times	1112	24-jul-2018	100.0
ford is a company that produces escort	1114	25-aug-2018	100.0
ankang is a city located in the geopolitical location china	1111	06-jul-2018	99.7
raptors is a sports team that plays against orlando_magic	1111	06-jul-2018	100.0