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
poker_compare is a board game	1111	06-jul-2018	91.7
boneless_chop_pork_recipe is a recipe	1111	06-jul-2018	99.6
house_democratic_whip is a job position	1111	06-jul-2018	97.6
house_barbecue_sauce is a condiment	1111	06-jul-2018	99.9
robb_miller coaches a sports team	1111	06-jul-2018	91.4
the sport baseball was played at n1939_world_series	1116	12-sep-2018	100.0
bed is often found in unique_room	1111	06-jul-2018	98.4
rob_thomas is a musician who is part of matchbox_20	1115	03-sep-2018	93.8
burien is a city located in the geopolitical location washington	1113	15-aug-2018	100.0
sinuses is a subpart of blood	1111	06-jul-2018	99.8