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
tossed_salad is a visualizable object	1111	06-jul-2018	100.0
table_layers is a household item	1111	06-jul-2018	91.0
lam_woon_kwong is an Asian person	1111	06-jul-2018	99.9
lashay_bean is a legume	1111	06-jul-2018	95.9
spring_semester_students is a victim	1111	06-jul-2018	100.0
delta_farm is a farm in the state or province washington	1116	12-sep-2018	100.0
palms_casino is a tourist attraction in the city las_vegas	1116	12-sep-2018	96.8
allen_iverson plays the athletic team position player	1113	15-aug-2018	99.6
kbeh is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	99.9
national is a bank that bought corporation_bank	1114	25-aug-2018	100.0