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
spencer_wallace is american	1111	06-jul-2018	91.5
actors_and_artists_of_america is a trade union	1112	24-jul-2018	90.2
robert_slimbach is a scientist	1111	06-jul-2018	100.0
morgan_stanley is an organization	1114	25-aug-2018	100.0
gold_wall_clock is an item found on a wall	1111	06-jul-2018	99.4
white_river_amphitheatre is a stadium or event venue located in the city auburn	1116	12-sep-2018	93.8
kold_tv is headquartered in the city tucson	1116	12-sep-2018	100.0
quality_suites is a hotel in the city toronto	1116	12-sep-2018	98.4
the country pakistan uses the currency rupees	1116	12-sep-2018	100.0
biz_stone is a top member of facebook	1116	12-sep-2018	98.4