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
poker_the_intensity is a non-sports, non-electronic game	1111	06-jul-2018	95.0
university_comments is software used by machine-learning scientists	1111	06-jul-2018	99.6
public_servants_association_of_south_africa is a trade union	1111	06-jul-2018	91.6
n1_ethoxy_2_propanol is a chemical	1111	06-jul-2018	100.0
example_alzheimer is a musical artist	1111	06-jul-2018	98.9
service is headquartered in the country u_s_	1116	12-sep-2018	100.0
henry was born in the city new_york	1116	12-sep-2018	99.2
israel and reuben are family members	1113	15-aug-2018	93.8
hungarian is the language of the country austria	1112	24-jul-2018	93.8
sheraton_los_angeles_downtown_hotel is a hotel in the city los_angeles_ca	1116	12-sep-2018	100.0