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
arabic_tabla is a musical instrument	1111	06-jul-2018	94.7
andy_taylor is a chef	1111	06-jul-2018	99.9
may_36 is a date	1111	06-jul-2018	100.0
chambers_lake is a trail	1111	06-jul-2018	100.0
sliced_pork is a type of meat	1111	06-jul-2018	99.6
the sports team eventual_super_bowl_champion_new_york_giants was the winner of n1921_world_series	1116	12-sep-2018	99.8
scuba is a sport taught in the country __america	1116	12-sep-2018	96.9
ulysses_grant is a U.S. politician who holds the office of secretary	1114	25-aug-2018	93.8
majestic_sierra_nevada is a mountain in the state or province california	1116	12-sep-2018	93.8
national is a bank that bought vijaya_bank	1114	25-aug-2018	100.0