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
caicos_islands can be a part of a landscape	1111	06-jul-2018	98.3
nickel_plated_copper is a building material	1111	06-jul-2018	98.0
cammoo_cave is a cave	1111	06-jul-2018	100.0
azeri_turkish is an ethnic group	1111	06-jul-2018	96.5
wheat_slices is an agricultural product	1111	06-jul-2018	99.7
miller001 graduated from state_university	1113	15-aug-2018	100.0
holiday_inn is a hotel in the city new_york	1116	12-sep-2018	100.0
games is an event at the location canada	1116	12-sep-2018	99.2
jeep makes the automobile dodge_caliber	1114	25-aug-2018	93.8
the sport baseball was played at first_world_series	1116	12-sep-2018	100.0