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
currency_exchange_calculator is an economic sector	1111	06-jul-2018	99.8
pat_fusco_s_georgian_moppin__sauce is a condiment	1111	06-jul-2018	99.9
contact_kari is a visualizable object	1111	06-jul-2018	98.8
mark_phillips is an Australian person	1111	06-jul-2018	99.8
n6_52_pm is a time	1111	06-jul-2018	100.0
giuliani represents the region new	1115	03-sep-2018	95.7
l_a_ is a city also known as los_angeles_ca	1111	06-jul-2018	100.0
miller001 has been charged with contempt	1113	15-aug-2018	99.8
ken_norton coaches the team usc	1116	12-sep-2018	93.8
woodrow_wilson is related to davidson_college	1114	25-aug-2018	100.0