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
indonesian_short_nosed_fruit_bat is a mammal	1111	06-jul-2018	100.0
atlanta_claims_association is a professional organization	1111	06-jul-2018	90.3
recipe_book_collection is a recipe	1111	06-jul-2018	99.8
i_see_my_beautiful is a song	1111	06-jul-2018	100.0
radiation_wavelengths is a perception event	1111	06-jul-2018	93.7
the companies hong_kong_post and china001 compete with eachother	1111	06-jul-2018	93.8
public_relations is an academic program at the university state_university	1111	06-jul-2018	100.0
robin_hardy directed the movie the_wicker_man	1115	03-sep-2018	96.9
joel_achenbach is a journalist that writes for the publication washington	1113	15-aug-2018	99.8
biden is a U.S. politician endorsed by the U.S. politician barack	1112	24-jul-2018	100.0