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
california_society_of_addiction_medicine is a professional organization	1111	06-jul-2018	92.1
screen_writers_guild is a trade union	1111	06-jul-2018	91.4
the_voice_messengers is a musical artist	1111	06-jul-2018	99.0
judge_ortega___susan___owens is a judge	1111	06-jul-2018	96.5
n9_6_percentage_points is a machine-learning algorithm	1111	06-jul-2018	99.5
dodge is a specific automobile maker dealer in pennsylvania	1115	03-sep-2018	100.0
golders_green is a park in the city central_london	1116	12-sep-2018	99.6
cost is an agricultural product that is usually cut into percentage	1114	25-aug-2018	100.0
p__vivax is a bacteria that causes malaria	1115	03-sep-2018	93.8
willam_anderson is a person who has residence in the country us	1115	03-sep-2018	100.0