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
northern_ireland_high_court is a part of the government	1111	06-jul-2018	92.7
prescription_adipex_meridia is a muscle	1111	06-jul-2018	99.8
food_giant_supermarkets_inc is a retail store	1111	06-jul-2018	99.5
legend_of_kage_2 is software	1112	24-jul-2018	100.0
michael_b__spring is an author in the scientific field of machine learning	1111	06-jul-2018	99.8
bruno_bettelheim died in the state or province colorado	1116	12-sep-2018	100.0
georgia hired richt	1111	06-jul-2018	99.6
crabs is a type of shellfish	1116	12-sep-2018	99.2
mike_parisi plays the sport baseball	1116	12-sep-2018	93.8
moskovskii_komsomolets is a newspaper in the city moscow	1116	12-sep-2018	96.9