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
lymph_nodes_fatigue is a lymph node	1111	06-jul-2018	99.4
hotel_st___marie is a place to ski	1111	06-jul-2018	95.1
sheri_abrams is a U.S. politician	1111	06-jul-2018	91.2
ron_herman is a company	1111	06-jul-2018	90.5
stuart_anderson_s_teriyaki_sauce is a condiment	1111	06-jul-2018	99.8
the sports leage nfl uses the venue soldier_field	1112	24-jul-2018	100.0
umass_minutemen_mens_basketball hired john_calipari	1113	15-aug-2018	100.0
barack_obama is a person who has residence in the geopolitical location u_s	1116	12-sep-2018	100.0
france_telecom has acquired orange	1114	25-aug-2018	100.0
paces_ferry_road is a street in the city atlanta	1116	12-sep-2018	93.8