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
meadowbrook_parkway_north is a highway	1111	06-jul-2018	93.0
esc_2445_san_francisco_san_miguel is a South American person	1111	06-jul-2018	91.8
eco_friendly_pens is an office supply	1111	06-jul-2018	90.6
culture_this_article is a legislative bill	1111	06-jul-2018	91.9
beacon_poultry_and_farm is a farm	1111	06-jul-2018	99.8
newark is an attraction that will be fall in city newark	1116	12-sep-2018	99.7
sangre_de_cristo is a mountain in the state or province new_mexico	1116	12-sep-2018	100.0
home has color purple	1115	03-sep-2018	93.8
states is a state or province located in the geopolitical location kenya	1114	25-aug-2018	100.0
object_storage occurrs at the date april_15__2013	1116	12-sep-2018	100.0