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
flame_shapes is a geometric shape	1111	06-jul-2018	95.0
association_click is a trade union	1111	06-jul-2018	95.7
sunday_star_times is a blog	1111	06-jul-2018	100.0
founding_curator is a job position	1111	06-jul-2018	94.8
last_20_years is a sports game	1111	06-jul-2018	99.8
the country african_countries uses the currency dollars	1116	12-sep-2018	98.4
zur_letzten_instanz_restaurant is a restaurant in the city berlin	1116	12-sep-2018	100.0
the_press is a newspaper in the city los_angeles_ca	1116	12-sep-2018	100.0
motorola was responsible for moto_e_price__specs__release_date__features___89_smartphone_set_to__end_feature_phones_	1114	25-aug-2018	100.0
pedro_feliciano is a person who was written about in sports_illustrated	1116	12-sep-2018	100.0