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
st_ann_marie_antoinette_hotel is a tourist attraction	1111	06-jul-2018	94.4
questi_articoli is a wine	1111	06-jul-2018	99.7
world_pulse is a publication	1111	06-jul-2018	91.7
n83_ is a year	1111	06-jul-2018	100.0
tresaca_hamilton is a writer	1111	06-jul-2018	91.2
n4 is the number of people that died in the event n2006_huntsville__alabama_bus_accident	1116	12-sep-2018	100.0
mike_price coaches the team washington_state	1116	12-sep-2018	93.8
burlington_international is an attraction that will be fall in city burlington	1116	12-sep-2018	93.8
world is a museum in the city new_york	1116	12-sep-2018	100.0
the home stadium of duncan_keith is wrigley_field	1116	12-sep-2018	100.0