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
delta_psi_fraternity is a professional organization	1111	06-jul-2018	91.5
methodological_information is a scientific term	1111	06-jul-2018	100.0
adventure_quiz_2 is software	1113	15-aug-2018	100.0
faultiness is a physical characteristic	1112	24-jul-2018	100.0
serum_antibodies is a protein	1111	06-jul-2018	100.0
butter has color brown_color	1114	25-aug-2018	96.9
terry_moran works for abc_news	1111	06-jul-2018	99.8
dodge is a specific automobile maker dealer in new_york	1115	03-sep-2018	100.0
bloomsbury is a tourist attraction in the city central_london	1116	12-sep-2018	100.0
rashid_auditorium_4401 is a room in the building gates_and_hillman_centers	1116	12-sep-2018	100.0