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
ted_website is a website	1111	06-jul-2018	96.0
golden_leaf_parkhotel_im_lehel_munich is a tourist attraction	1111	06-jul-2018	94.3
coast_garter_snake is a reptile	1111	06-jul-2018	100.0
indonesian_short_nosed_fruit_bat is a mammal	1111	06-jul-2018	100.0
mercury_capri_engines is a kind of automobile engine	1111	06-jul-2018	100.0
clark is an athlete who injured his/her face	1114	25-aug-2018	100.0
t_s__eliot was born in saint_louis	1116	12-sep-2018	100.0
robert_de_niro is an actor that worked with the director brian_de_palma	1116	12-sep-2018	100.0
admiralty_arch is a tourist attraction in the city central_london	1116	12-sep-2018	100.0
ins is headquartered in the country u_s_	1116	12-sep-2018	99.2