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
cisco_restaurant is a restaurant	1111	06-jul-2018	100.0
animetucon is a convention	1111	06-jul-2018	99.8
kriss_standke is a chef	1111	06-jul-2018	90.4
burlington_county_college is a school	1116	12-sep-2018	100.0
jane_preeter is a Canadian person	1111	06-jul-2018	91.9
torii_hunter is an athlete who led twins	1116	12-sep-2018	100.0
michael_irvin plays the athletic team position wide_receiver	1113	15-aug-2018	100.0
the sport baseball was played at n1996_world_series	1116	12-sep-2018	100.0
tokyo is the location of the event big_quake_rattles_tokyo__17_injured	1113	15-aug-2018	100.0
criteria is a subpart of water	1111	06-jul-2018	98.4