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
que_no_nos is a currency	1111	06-jul-2018	99.8
radios_projection_alarm_clock is an item often found in a bedroom	1111	06-jul-2018	99.8
rights_last_year is a socio-political term	1111	06-jul-2018	94.7
quepasa is a website	1111	06-jul-2018	92.0
mango_indian_style_recipes is a recipe	1111	06-jul-2018	99.9
eisenhower represents the region us	1115	03-sep-2018	99.9
the final score of the sports game championship was gamescore:n8_6	1116	12-sep-2018	100.0
mick_jagger is a musician who is part of the_rolling_stones	1116	12-sep-2018	93.8
london_heathrow_airport is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
lexus is a specific automobile maker dealer in virginia	1114	25-aug-2018	93.8