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
methodological_information is a scientific term	1111	06-jul-2018	100.0
trick_questions is a cognitive action	1111	06-jul-2018	100.0
latin_dancing is a sport	1111	06-jul-2018	99.9
desk_functionality is an item found on the floor	1111	06-jul-2018	99.8
sushmita_sen__aishwarya_rai ia a celebrity	1111	06-jul-2018	90.7
miller_park is the home venue for the sports team brewers	1116	12-sep-2018	100.0
scott_mcnealy is a top member of sun_microsystems	1116	12-sep-2018	99.2
abercorn_street is a street in the city savannah	1116	12-sep-2018	100.0
kobe_bryant is a person who has age 30	1116	12-sep-2018	100.0
cebu_city is a city located in the country the_philippines	1116	12-sep-2018	100.0