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
n26_3_loss is an event outcome	1111	06-jul-2018	99.9
coyote_hill_farm is a farm	1111	06-jul-2018	99.9
yang_s_salamander is an amphibian	1111	06-jul-2018	100.0
tour_de_la_valle_d_aoste_mont_blanc is a sports race	1111	06-jul-2018	100.0
yellow_daisies is a plant	1111	06-jul-2018	99.6
calhoun works for uconn	1111	06-jul-2018	93.8
cleveland_browns hired romeo_crennel	1113	15-aug-2018	100.0
black_pepper is an agricultural product that is usually cooked with butter	1114	25-aug-2018	100.0
the sport baseball was played at n1981_world_series	1116	12-sep-2018	100.0
philip has spouse england	1116	12-sep-2018	93.8