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
protected_wetlands can be a part of a landscape	1111	06-jul-2018	99.5
deep_lilac is a color	1111	06-jul-2018	100.0
maple_bacon is a type of meat	1111	06-jul-2018	99.2
vila_nova_milfontes is a visualizable scene	1111	06-jul-2018	99.2
san_pedro_del_ycuamandiy_oelig is a South American person	1111	06-jul-2018	91.9
kpfk is a radio station in the city los_angeles_ca	1116	12-sep-2018	100.0
baseball is a sport played in the venue rogers_centre	1115	03-sep-2018	100.0
islamabad is the capital city of the country pakistan	1116	12-sep-2018	100.0
pork_spareribs is related to pig	1114	25-aug-2018	100.0
bombs is a type of weapon produced in iran__	1113	15-aug-2018	100.0