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
whydah_museum is a museum	1111	06-jul-2018	100.0
page_learn is an office supply	1112	24-jul-2018	95.4
two_this is a parlour game	1111	06-jul-2018	90.7
pima_county_community_college_downtown is a train station	1111	06-jul-2018	99.5
system_constructs is a video game system	1111	06-jul-2018	96.8
rays is a type of pelagics	1113	15-aug-2018	100.0
n7_07am is the time of the event two_earthquakes_hit_the_east_midlands	1116	12-sep-2018	100.0
malarone is a drug having the side effect side_effects	1114	25-aug-2018	93.8
clash is a musician in the genre rock	1111	06-jul-2018	100.0
treasury_department is headquartered in the country u_s_	1116	12-sep-2018	100.0