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
n1997_dodge_grand_caravan is a model of automobile	1111	06-jul-2018	94.5
rena_hotel is a hotel	1111	06-jul-2018	98.3
judge_ian_leeming_qc is a judge	1111	06-jul-2018	95.5
central_midfield is a sports team position	1111	06-jul-2018	99.5
santa_river is a river	1111	06-jul-2018	100.0
nonneginteger:n38 was the winning score in n2006_sugar_bowl	1116	12-sep-2018	100.0
jerome_k__jerome contributed to the creative work three_men_in_a_boat	1113	15-aug-2018	100.0
the sports team new_york_mets was the winner of nlcs	1116	12-sep-2018	100.0
o_j__simpson has been charged with murders	1115	03-sep-2018	99.9
london_times is a newspaper in the city central_london	1116	12-sep-2018	100.0