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
email_success is an event outcome	1111	06-jul-2018	93.7
movie_jane_austen_book_club is a movie	1111	06-jul-2018	100.0
justice_max_baer is a judge	1111	06-jul-2018	97.6
mouvement_pour_la_democratie_et_le_progress is a political party	1112	24-jul-2018	100.0
mewari_dialect is a language	1111	06-jul-2018	98.7
red_coat is a clothing item to go with hat	1111	06-jul-2018	99.9
oklahoma is a sate or province located in the country usa	1116	12-sep-2018	100.0
rosen_centre is a hotel in the city orlando	1116	12-sep-2018	100.0
mark_teixeira plays for the team yankees	1116	12-sep-2018	100.0
amtrak_train is a transportation system located in the city washington___d___c__	1116	12-sep-2018	100.0