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
old_orange_road is a street	1111	06-jul-2018	100.0
tim_dekay is a commedian	1111	06-jul-2018	100.0
improvement_capacity is a character trait	1111	06-jul-2018	99.3
gold_wall_clock is an item found on a wall	1111	06-jul-2018	99.4
unprecedented__the_2000_presidential_election is an election	1111	06-jul-2018	94.1
ladbroke_grove is a park in the city central_london	1116	12-sep-2018	93.8
the home stadium of cristobal_huet is wrigley_field	1116	12-sep-2018	100.0
basemath has husband esau	1116	12-sep-2018	100.0
federal_deposit_insurance is an organization known by the acronym fdic	1114	25-aug-2018	100.0
states is a state or province located in the geopolitical location palestine	1114	25-aug-2018	100.0