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
movie_last_orders is a movie	1111	06-jul-2018	100.0
red_wine_glass is an item found on a table	1111	06-jul-2018	99.6
gorgan_mountain_salamander is an amphibian	1111	06-jul-2018	100.0
nuestro_estado is a currency	1111	06-jul-2018	100.0
modern_guitars_magazine is a magazine	1111	06-jul-2018	99.8
nutrition is an academic field useful for the job position registered_dietitian	1112	24-jul-2018	96.9
cdg is an airport in the city paris	1116	12-sep-2018	100.0
father is the parent of lord_jesus	1115	03-sep-2018	100.0
synthroid is a drug worked on by abbot_laboratories	1114	25-aug-2018	96.9
quentin_tarantino directed the movie death_proof	1115	03-sep-2018	99.3