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
three_national_elections is an election	1111	06-jul-2018	95.7
moore_cave is a cave	1111	06-jul-2018	100.0
greenville_hospital_system_university_medical_center is a hospital	1111	06-jul-2018	90.6
united_farm_workers_ufw is a trade union	1111	06-jul-2018	90.7
ngo_committee is a political organization that is not part of the government	1111	06-jul-2018	100.0
alex001 is a musician who plays the guitar	1115	03-sep-2018	93.8
northern_trust is a company in the economic sector of public_sector	1112	24-jul-2018	96.9
bed is often found in casita	1116	12-sep-2018	100.0
islamabad is the capital city of the country pakistan	1116	12-sep-2018	100.0
mount_augusta is a mountain in the state or province alaska	1116	12-sep-2018	100.0