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
food_recall_engineering is an area of study within the field of machine learning	1111	06-jul-2018	100.0
tan_edge_treefrog is an amphibian	1111	06-jul-2018	100.0
hair_care_blow_dryer is a personal care product	1111	06-jul-2018	97.3
california_foundation is a part of the government	1111	06-jul-2018	100.0
john_pendleton is a musician	1111	06-jul-2018	100.0
title is an event at the location new_south_wales	1116	12-sep-2018	93.8
cells is a subpart of the body within human_bone_marrow	1111	06-jul-2018	99.9
new_york_mets is an organization created at the date n1962	1116	12-sep-2018	100.0
pelagics is a type of rays	1113	15-aug-2018	100.0
sofitel_los_angeles is a hotel in the city los_angeles_ca	1116	12-sep-2018	100.0