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
exeter_avenue is a street	1111	06-jul-2018	100.0
dining_benches is a kind of furniture	1111	06-jul-2018	99.4
upstairs_foyer is a kind of room	1111	06-jul-2018	100.0
white_winged_dog_like_bat is a mammal	1111	06-jul-2018	100.0
hispaniolan_wheeping_frog is an amphibian	1111	06-jul-2018	100.0
german is the language of the country u_s_	1116	12-sep-2018	100.0
juan_santamaria_airport is an attraction that will be fall in city san_jose	1116	12-sep-2018	96.9
california_market_center is a shopping mall in the city los_angeles_ca	1116	12-sep-2018	100.0
lord and jerusalem are siblings	1112	24-jul-2018	98.4
super_bowl_xliv_the_indianapolis_colts is a sports team that played in series	1113	15-aug-2018	100.0