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
tractus_occipitomesencephalicus is a kind of brain tissue	1111	06-jul-2018	96.7
strawberry_plants is a plant	1111	06-jul-2018	100.0
zimbabwean_high_court is a part of the government	1111	06-jul-2018	95.1
liberation_army_eln_targets is a terrorist organization	1111	06-jul-2018	99.5
favero_vineyards_and_winery is a winery	1111	06-jul-2018	100.0
chris_osgood and legace are teammates	1111	06-jul-2018	93.8
annise_parker is a person who has residence in the country u_s_	1116	12-sep-2018	100.0
dave001 is a person who graduated from the university college	1115	03-sep-2018	100.0
mother is the parent of lord_jesus	1115	03-sep-2018	97.4
surf is a sport with fans in the country __america	1116	12-sep-2018	100.0