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
hotel_arizona is a place to ski	1111	06-jul-2018	92.3
accommodating is a physical action	1111	06-jul-2018	95.4
north_east_texas_farm is a farm	1111	06-jul-2018	99.8
nc_utilities_commission is a part of the government	1111	06-jul-2018	94.8
times_more_light is a perception event	1111	06-jul-2018	94.0
levi_brown plays for the team cardinals_27_23	1116	12-sep-2018	100.0
papeete is a generalization of temple_of_the_reclining_buddha	1111	06-jul-2018	100.0
easyjet is a company that has an office in the city central_london	1112	24-jul-2018	100.0
target_corp is headquartered in the country u_s_	1116	12-sep-2018	93.8
yugoslav_federation is a country located in the geopolitical location italy	1111	06-jul-2018	93.8