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
una_interpretaci is a currency	1111	06-jul-2018	99.8
open_rear_door is an item often found in a hallway	1111	06-jul-2018	99.7
cash_awards is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
n1999_school_election is an election	1111	06-jul-2018	95.3
ordinary_clock is an item often found in a bedroom	1111	06-jul-2018	99.9
morgan_freeman is an actor that worked with the director clint_eastwood	1115	03-sep-2018	100.0
chief is headquartered in the country u_s_	1116	12-sep-2018	98.4
philadelphia is a city located in the geopolitical location national	1114	25-aug-2018	98.4
andy_bechtolsheim is a top member of sun_microsystems	1116	12-sep-2018	96.9
dallas is the home city of the sports team mavericks	1116	12-sep-2018	100.0