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
lin_yuzhong is an Asian person	1111	06-jul-2018	99.9
saab_92x_engines is a kind of automobile engine	1111	06-jul-2018	100.0
top_listing_agent is a profession	1111	06-jul-2018	95.7
ryan_conroy is an Australian person	1111	06-jul-2018	98.0
n6_50_euro is a year	1111	06-jul-2018	100.0
keith_urban has wife nicole_kidman	1116	12-sep-2018	100.0
belgium is a country located in the geopolitical location foreign_countries	1112	24-jul-2018	93.8
j__p__morgan_chase is a bank that has jamie_dimon as its CEO	1116	12-sep-2018	96.9
ice_hockey is a sport taught in the country __america	1116	12-sep-2018	100.0
the companies financial and herald compete with eachother	1111	06-jul-2018	99.9