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
kathryn_dunn is an Australian person	1111	06-jul-2018	99.9
white_s_thrush is a bird	1112	24-jul-2018	100.0
senate_special_judiciary_committee is a political organization that is not part of the government	1111	06-jul-2018	100.0
additional_award is a film festival	1111	06-jul-2018	100.0
bisphenol_a_formaldehyde_epichlorohydrin_resin is a chemical	1111	06-jul-2018	100.0
aguas_calientes_town is a city that lies on the river urubamba	1111	06-jul-2018	100.0
jaguar competes with the company responsible for rolls_royce_launches_ghost_series_ii	1114	25-aug-2018	100.0
products001 is a product produced in u_s_a_	1116	12-sep-2018	98.4
washington is taller than million_people	1116	12-sep-2018	99.4
ross_ohlendorf plays for the team pirates	1116	12-sep-2018	93.8