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
robert_purdie is a professor	1111	06-jul-2018	91.1
khimsar is a geopolitical entity that is an organization	1111	06-jul-2018	94.9
may_67 is a date	1111	06-jul-2018	100.0
gasoline_grades is a refinery product	1111	06-jul-2018	92.7
dmitri_popov is an astronaut	1111	06-jul-2018	96.3
martina_hingis is an athlete who beat jana_novotna	1114	25-aug-2018	100.0
dodgers is a sports team that plays the sport baseball	1116	12-sep-2018	100.0
kreg_tv is a TV affiliate of the network cbs_evening_news	1116	12-sep-2018	100.0
bed is often found in site	1116	12-sep-2018	100.0
hayden_memorial_library is a building belonging to mit	1116	12-sep-2018	100.0