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
table_d_2 is an item found on the floor	1111	06-jul-2018	99.8
iphone_accessories is an item often found in a bathroom	1111	06-jul-2018	99.8
mark_tonderai is a director	1111	06-jul-2018	100.0
phoenix_airport is a transportation port	1111	06-jul-2018	100.0
steel_gray_sky is a color	1111	06-jul-2018	99.9
linas_kleiza is a person also known as j_r__towles	1115	03-sep-2018	100.0
display001 looks like receiver	1111	06-jul-2018	93.8
scott is an athlete who injured his/her arms	1115	03-sep-2018	100.0
jeep makes the automobile jeeps	1114	25-aug-2018	100.0
pancake has color brown	1116	12-sep-2018	96.9