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
valtrex_no_prescription is a product	1111	06-jul-2018	95.7
project_management_program is an academic field	1111	06-jul-2018	100.0
forest_park_national_bank_and_trust_company is a credit union	1111	06-jul-2018	100.0
six_week_phase is a non-disease physiological condition	1111	06-jul-2018	95.7
tess_thompson is a CEO	1111	06-jul-2018	94.0
jeffrey_gettleman is a journalist that writes for the publication new_york_times	1113	15-aug-2018	98.4
wired is a company headquartered in the city new_york	1116	12-sep-2018	100.0
china_construction_bank is a company that has an office in the country china	1114	25-aug-2018	100.0
the sport baseball was played at n1983_world_series	1116	12-sep-2018	100.0
larger_animals is an animal that preys on deer	1112	24-jul-2018	100.0