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
aleksandr_ivant_enkov is an astronaut	1111	06-jul-2018	100.0
less_massive_stars is a geometric shape	1111	06-jul-2018	92.1
white_prunicola_scale is an invertebrate	1111	06-jul-2018	100.0
alarm_clock_radiuo is an item often found in a bedroom	1111	06-jul-2018	99.8
quick_breakfast is a type of meat	1111	06-jul-2018	98.6
technology died in the location new_south_wales	1116	12-sep-2018	99.2
talent participated in the event series	1112	24-jul-2018	99.9
english is a language used in the university oklahoma_state_university	1114	25-aug-2018	93.8
bouchon is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
kxla is a TV station in the city los_angeles_ca	1116	12-sep-2018	100.0