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
pietro_morando is a visual artist	1111	06-jul-2018	100.0
united_states_postal_service is a bank	1111	06-jul-2018	100.0
fgf_receptors is a protein	1111	06-jul-2018	96.0
capillary_blood_vessels is an artery	1111	06-jul-2018	99.6
n2_cups is an item found in the kitchen	1111	06-jul-2018	99.2
baseball is a sport played in the venue safeco_field	1116	12-sep-2018	100.0
kbco is a radio station in the city boulder	1116	12-sep-2018	100.0
toni_morrison contributed to the creative work sula	1112	24-jul-2018	93.8
talent participated in the event series	1112	24-jul-2018	99.9
andres_segovia is a musician who plays the guitar	1115	03-sep-2018	98.4