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
juan_manuel_vargas is a South American person	1111	06-jul-2018	93.6
evaluation_meeting is a perception action	1111	06-jul-2018	99.9
charles_bland is american	1111	06-jul-2018	91.5
montcalm_subaru is an automobile manufacturer	1111	06-jul-2018	95.1
kowalski_s_markets is a retail store	1111	06-jul-2018	99.4
colette contributed to the creative work claudine_at_school	1112	24-jul-2018	100.0
oil is an agricultural product that is usually cooked with wheat_flour	1111	06-jul-2018	96.9
yahweh is the father of yahshua	1116	12-sep-2018	100.0
stove is often found in kitchen	1111	06-jul-2018	100.0
pillsbury_hall is related to university_of_minnesota	1116	12-sep-2018	100.0