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_rights is a socio-political term	1111	06-jul-2018	94.1
engelhardt_s_salamander is an amphibian	1111	06-jul-2018	100.0
hampton_beach_new_hampshire is a beach	1111	06-jul-2018	100.0
plantar_cuneocuboid_ligament is a vein	1111	06-jul-2018	99.2
harrington_farms is a farm	1111	06-jul-2018	99.8
del_fuegos is a musician in the genre roots	1113	15-aug-2018	93.8
museum_of_modern_art is a museum in the city new_york	1116	12-sep-2018	100.0
dogbane_tiger_moth is related to white	1116	12-sep-2018	100.0
pests is a type of snails	1114	25-aug-2018	100.0
n6115 is a room in the building gates___hilman_centers	1116	12-sep-2018	100.0