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
date_this_page is a CEO	1111	06-jul-2018	100.0
search_internet is an economic sector	1111	06-jul-2018	99.9
more_finger is a bone	1111	06-jul-2018	92.7
arteriae_centrales_anterolaterales is an artery	1111	06-jul-2018	99.8
center_checks is a sports team position	1111	06-jul-2018	99.4
the country cuba uses the currency pesos	1116	12-sep-2018	100.0
ospel belongs to the ethnic group swiss	1116	12-sep-2018	100.0
museum_of_sex is a museum in the city new_york	1116	12-sep-2018	100.0
hyundai is a specific automobile maker dealer in san_diego	1114	25-aug-2018	100.0
zoo_negara is an aquarium in the city kuala_lumpur	1116	12-sep-2018	100.0