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
shi_a_militias is a terrorist organization	1111	06-jul-2018	99.7
sheffield_area is a monument	1111	06-jul-2018	100.0
way_the_door is an item often found in a hallway	1111	06-jul-2018	99.7
tastefully_furnished_guest_rooms is an office building room	1111	06-jul-2018	95.0
kate_del_castillo is a commedian	1111	06-jul-2018	97.7
n3_ is a subpart of the body within system	1111	06-jul-2018	93.8
new_york_city_police_museum is a museum in the city new_york	1116	12-sep-2018	100.0
superdome is the home venue for the sports team new_orleans_saints	1116	12-sep-2018	98.4
mount_augusta is a mountain in the state or province alaska	1116	12-sep-2018	100.0
priority is headquartered in the country us	1116	12-sep-2018	100.0