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
the_sandy_becker_morning_show is a TV show	1111	06-jul-2018	99.9
comment_recent_related_articles is software used by machine-learning scientists	1111	06-jul-2018	98.7
interface_longlist_parameters is a machine-learning conference	1112	24-jul-2018	95.3
burjuman_centre_office_tower_148_0_m is a skyscraper	1111	06-jul-2018	99.9
upper_back_muscles is a muscle	1111	06-jul-2018	99.8
steve001 works for design	1112	24-jul-2018	96.9
joseph_stiglitz held the position of economist	1114	25-aug-2018	93.8
the sports leage nascar uses the venue atlanta_motor_speedway	1114	25-aug-2018	100.0
santa_cruz is a city also known as columbia	1112	24-jul-2018	93.8
rugby is a sport taught in the country __america	1116	12-sep-2018	99.2