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
bmw_1800_engines is a kind of automobile engine	1111	06-jul-2018	100.0
diamond_silver is a visualizable attribute	1111	06-jul-2018	92.9
proposal_software is a tool	1111	06-jul-2018	99.8
nascar_the_game_2011 is a video game	1111	06-jul-2018	92.7
last_general_meeting is a music festival	1111	06-jul-2018	100.0
julie graduated from college	1114	25-aug-2018	100.0
claremont_hotel is a park in the city central_london	1116	12-sep-2018	100.0
yugoslav_federation is a country located in the geopolitical location countries	1111	06-jul-2018	100.0
spiders is called brown_recluse_spiders	1111	06-jul-2018	96.9
bothell is a city also known as seattle	1113	15-aug-2018	93.8