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
kitchen_bench_tables is a kind of furniture	1111	06-jul-2018	99.5
lesotho___maseru is a country	1111	06-jul-2018	98.4
billie_johnson is a Canadian person	1111	06-jul-2018	90.9
n12_54_49 is a term used by physicists	1111	06-jul-2018	93.8
n11_32_pm is a time	1111	06-jul-2018	100.0
n17_000_americans participated in the event result	1111	06-jul-2018	96.9
joe_nocera is a journalist that writes for the publication new_york_times	1113	15-aug-2018	100.0
peyton_manning is an athlete coached by tony_dungy	1116	12-sep-2018	100.0
hot_water is often found in cabins	1111	06-jul-2018	96.9
states is a state or province located in the geopolitical location las_vegas	1115	03-sep-2018	99.5