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
reasearch is a research project	1111	06-jul-2018	97.8
elsa_pataky is a Canadian person	1111	06-jul-2018	98.0
westmar_university is a university	1111	06-jul-2018	100.0
manuel_laguillo is a South American person	1111	06-jul-2018	95.7
frida_kahlo_and_diego_rivera is a visual artist	1111	06-jul-2018	90.5
thumb is a subpart of blood	1111	06-jul-2018	96.9
china_construction is a bank in china	1111	06-jul-2018	93.8
n1935_the_detroit_tigers is a sports team that won the world_series	1113	15-aug-2018	100.0
radisson_sas_portman_hotel is a park in the city central_london	1116	12-sep-2018	100.0
luis_castillo plays the sport baseball	1116	12-sep-2018	98.4