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
dispensing_process is a cognitive action	1111	06-jul-2018	100.0
afferent_branchial_vein is a vein	1111	06-jul-2018	95.5
bcbg_max_azria_shoes is a kind of clothing	1111	06-jul-2018	100.0
the_bank_of_river_oaks is a credit union	1111	06-jul-2018	100.0
richard_tolman is a scientist	1111	06-jul-2018	99.9
cricket is a sport with fans in the country india	1115	03-sep-2018	100.0
triangle has shape line	1112	24-jul-2018	93.8
grammy_museum is a museum in the city los_angeles_ca	1116	12-sep-2018	100.0
new_england_aquarium is an aquarium in the city boston	1116	12-sep-2018	100.0
circut_city is headquartered in the city richmond	1116	12-sep-2018	100.0