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
childs_lake is a trail	1111	06-jul-2018	100.0
flat_bones is a bone	1116	12-sep-2018	99.6
gloucester_museum_of_history is a monument	1111	06-jul-2018	99.9
information_management_magazine is a publication	1111	06-jul-2018	95.8
burdett_college_worcester_campus is a train station	1111	06-jul-2018	99.7
the companies herald and la compete with eachother	1111	06-jul-2018	99.6
jolie has husband brad_pitt	1116	12-sep-2018	99.9
coffee is an agricultural product produced in _uk	1116	12-sep-2018	100.0
coca_cola is a company in the economic sector of consumer	1114	25-aug-2018	100.0
the_travelers_companies terminated the employment of jay	1114	25-aug-2018	100.0