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
n350_babies is an animal	1111	06-jul-2018	92.3
dead_comments is a product	1111	06-jul-2018	91.2
tiny_blood_capillaries is a part of the body	1111	06-jul-2018	96.8
james_gore is an author in the scientific field of machine learning	1111	06-jul-2018	99.7
lumber_workers is a trade union	1112	24-jul-2018	97.0
dan is a person who has attended the school college	1112	24-jul-2018	100.0
the sport baseball was played at n1959_world_series	1116	12-sep-2018	100.0
justin_gaston has wife miley_cyrus	1116	12-sep-2018	99.7
baseball is a sport taught in the country __america	1116	12-sep-2018	100.0
spiders is a type of organisms	1111	06-jul-2018	93.8