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
kpdx is a TV station	1111	06-jul-2018	99.8
party_general_secretary is a kind of office held by a politician	1111	06-jul-2018	100.0
illinois_institute_of_technology is a school	1114	25-aug-2018	100.0
four_star_rating is a physical action	1111	06-jul-2018	97.3
eco_friendly_pens is an office supply	1111	06-jul-2018	90.6
n1935_the_detroit_tigers participated in the event series	1113	15-aug-2018	100.0
movie_actors is a generalization of dustin_hoffman	1115	03-sep-2018	100.0
republic is a country located in the geopolitical location foreign_countries	1112	24-jul-2018	96.9
legace and chris_osgood are teammates	1111	06-jul-2018	93.8
linda_hogan has been charged with three_counts_of_negligence	1115	03-sep-2018	100.0