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
information_meeting is a perception action	1111	06-jul-2018	96.8
tables_stools is a kind of furniture	1111	06-jul-2018	99.7
construction_clock is an item found on a wall	1111	06-jul-2018	99.6
m_resort_spa_casino is a stadium or event venue	1111	06-jul-2018	93.8
salvin_s_mushroomtongue_salamander is an amphibian	1111	06-jul-2018	100.0
peoples is a company that has an office in the country china	1111	06-jul-2018	99.6
california is a state that is bordered by the state virginia	1114	25-aug-2018	93.8
novak_djokovic is an athlete who wins australian_open	1115	03-sep-2018	100.0
wxyz is a TV station in the city detroit	1116	12-sep-2018	100.0
baltimore_colts_in_super_bowl_iii is a sports team that won the super_bowl	1113	15-aug-2018	100.0