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
the_city_weekly is a newspaper	1111	06-jul-2018	100.0
score_bad_credit is an office supply	1111	06-jul-2018	94.2
peugeot_305_gls_estate is a kind of vehicle	1111	06-jul-2018	99.9
george_washington_university is a school	1116	12-sep-2018	100.0
class_capacity is a character trait	1111	06-jul-2018	99.6
home is found in observatory	1115	03-sep-2018	100.0
hollywood_bowl is a sports game that took place on the date n2005	1116	12-sep-2018	100.0
stove is often found in kitchen	1111	06-jul-2018	100.0
manhattan_mall_shopping_center is a shopping mall in the city new_york	1116	12-sep-2018	100.0
austin_zoo is a zoo in the city austin	1116	12-sep-2018	100.0