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
class_actors is a machine-learning conference	1111	06-jul-2018	96.9
human_rights_situation is a socio-political term	1111	06-jul-2018	92.2
em_poker_tournaments is a product	1111	06-jul-2018	100.0
laurelynn_martin is a chef	1111	06-jul-2018	99.9
linda_offenheiser is a writer	1111	06-jul-2018	91.5
turkmenistan is a country also known as china	1111	06-jul-2018	93.8
chicken eat gravy	1116	12-sep-2018	92.9
peter_sellers is an actor that worked with the director blake_edwards	1114	25-aug-2018	100.0
kommersant_daily is a newspaper in the city moscow	1116	12-sep-2018	96.9
koji_uehara plays the sport baseball	1116	12-sep-2018	99.9