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
class_help is a machine-learning conference	1111	06-jul-2018	92.6
simon_king is an African person	1111	06-jul-2018	99.2
kenneth_g__ross is a scientist	1111	06-jul-2018	100.0
hainan_odd_scaled_snake is a reptile	1111	06-jul-2018	100.0
poignant_picture is form of visual art	1111	06-jul-2018	98.3
nissan is a specific automobile maker dealer in antonio	1114	25-aug-2018	99.2
place is a street in the city hague	1116	12-sep-2018	100.0
the sports leage ncaa uses the venue scott_stadium	1112	24-jul-2018	100.0
uk_department is headquartered in the country us	1116	12-sep-2018	100.0
mississippi is a sate or province located in the country usa	1116	12-sep-2018	100.0