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
n01_06_2012 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
b_e_p is a programming language	1111	06-jul-2018	95.3
collin_county_community_college_sp is a train station	1111	06-jul-2018	98.9
ppg___associates_federal_credit_union is a credit union	1111	06-jul-2018	100.0
berryman_creek is a river	1111	06-jul-2018	100.0
washington is related to baltimore_and_potomac_railroad_station	1113	15-aug-2018	100.0
scott is an athlete who injured his/her arms	1115	03-sep-2018	100.0
carroll plays the athletic team position left_field	1113	15-aug-2018	93.8
singapore is a country located in the geopolitical location foreign_countries	1112	24-jul-2018	96.9
weapons is a type of weapon produced in russia	1113	15-aug-2018	93.1