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
soup_with_dumplings_recipe is a recipe	1111	06-jul-2018	99.6
bayberry_road is a street	1111	06-jul-2018	100.0
n3_0_victory is an event outcome	1111	06-jul-2018	99.9
glenn_brummer is an Australian person	1111	06-jul-2018	99.9
tea__oolong_tea is an agricultural product	1111	06-jul-2018	99.9
marc_chagall is a visual artist in the field of paintings	1116	12-sep-2018	99.8
london is taller than million_people	1116	12-sep-2018	100.0
dodge is a specific automobile maker dealer in maryland	1115	03-sep-2018	96.9
dan is a person who has attended the school high_school	1112	24-jul-2018	96.9
jay_z and bey are family members	1111	06-jul-2018	93.8