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
president_one is a profession	1111	06-jul-2018	95.9
poker_the_intensity is a non-sports, non-electronic game	1111	06-jul-2018	95.0
generic_vasotec_ is a product	1111	06-jul-2018	93.5
turkmans is an ethnic group	1111	06-jul-2018	94.1
william_hooks_1_7_0_5_7215en_a_dozen_dogs is a European person	1111	06-jul-2018	100.0
china is a country also known as us_	1111	06-jul-2018	93.8
goran_ivanisevic is an athlete who beat agassi	1114	25-aug-2018	100.0
triangle has shape two_sides	1112	24-jul-2018	100.0
forbes_galleries is a museum in the city new_york	1116	12-sep-2018	100.0
computers is a product produced in china	1111	06-jul-2018	100.0