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
dragon_quest_x is a video game	1111	06-jul-2018	92.7
trail_center is a skyscraper	1111	06-jul-2018	99.8
bismarck_kingfisher is a vertebrate	1112	24-jul-2018	98.4
crowne_plaza_hotel_times_square is a place to ski	1111	06-jul-2018	93.8
big_bend_canyon_lizard is a reptile	1111	06-jul-2018	100.0
cells is a subpart of the body within tissue	1111	06-jul-2018	99.8
leto is the mother of apollo	1116	12-sep-2018	100.0
audi has acquired lamborghini	1114	25-aug-2018	100.0
michael_bear is the leader of the city city_of_london	1116	12-sep-2018	100.0
professional_sports is a sport with fans in the country __america	1116	12-sep-2018	100.0