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
movable_partition_doors is something found in or on buildings	1111	06-jul-2018	98.8
petrobacter_succinatimandens is a bacterium	1111	06-jul-2018	100.0
neches_federal_credit_union is a bank	1111	06-jul-2018	100.0
jeremy_davidson is an African person	1111	06-jul-2018	100.0
sour_lake_restaurant is a restaurant	1111	06-jul-2018	100.0
insects is a type of crickets	1114	25-aug-2018	100.0
carroll graduated from college	1113	15-aug-2018	98.4
hayden_memorial_library is a building belonging to mit	1116	12-sep-2018	100.0
spanish_language is a language taught in language schools in the city san_miguel	1112	24-jul-2018	100.0
archery is a sport taught in the country canada	1116	12-sep-2018	100.0