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
dewey_nicks is a director	1111	06-jul-2018	92.1
todd_armstrong is a male	1111	06-jul-2018	90.3
large_nerve is a nerve	1111	06-jul-2018	98.7
aloha_farm_co is a farm	1111	06-jul-2018	99.9
gran_canaria is a city	1111	06-jul-2018	99.9
clark graduated from state_university	1114	25-aug-2018	99.2
knicks is headquartered in the state or province new_york	1116	12-sep-2018	97.5
zoo_basel is a zoo in the city basel	1116	12-sep-2018	100.0
andaman_and_nicobar is a state or province located in the geopolitical location india	1115	03-sep-2018	96.9
the sports leage nfl uses the venue soldier_field	1112	24-jul-2018	100.0