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
thinking_business is a cognitive action	1111	06-jul-2018	92.0
safety_conference is a convention	1111	06-jul-2018	99.9
doomfulness is an emotion	1111	06-jul-2018	95.3
domaine_bequet_winery is a winery	1111	06-jul-2018	100.0
reserve_chaplain is a job position	1111	06-jul-2018	95.1
david_cho is a journalist that writes for the publication washington	1113	15-aug-2018	93.8
matt_williams plays for the team indians	1116	12-sep-2018	96.9
union_station is a building located in the city washington_d_c_	1116	12-sep-2018	93.8
canadian_islamic_congress is headquartered in the country canada	1116	12-sep-2018	100.0
glades_road is a street in the city boca_raton	1116	12-sep-2018	100.0