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
richard_a_clarke is a CEO	1111	06-jul-2018	100.0
atomizer_top is a kind of clothing	1111	06-jul-2018	91.9
evington_road is a street	1111	06-jul-2018	100.0
valeri_polyokov is an astronaut	1111	06-jul-2018	100.0
primitive_superior_sagittal_sinus is a vein	1111	06-jul-2018	96.4
greene_street is a street in the city augusta	1116	12-sep-2018	100.0
gary_payton is an athlete coached by mike_woodson	1116	12-sep-2018	100.0
nutrition is an academic field useful for the job position registered_dietitian	1112	24-jul-2018	96.9
chen works for youtube	1111	06-jul-2018	100.0
gatwick_express is a transportation system located in the city victoria	1116	12-sep-2018	100.0