by Chunting Zhou, Aditi Chaudhary, David Mortenson (in collaboration w/ Graham Neubig and Jaime Carbonell)

CMU-NER is a suite of software to detect Named Entities, such as people, locations, geo-political entities, in text in different languages. This software suite is primarily based on deep learning methods.

• Cross-lingual transfer learning with cheap translation.
• Preproduce the morphology tag features.
• Add IPA transfer learning.

The development of this software has been sponsored by DARPA-funded project at CMU called AIRES under DARPA's LORELEI initiative.

This software is available under the BSD license (see COPYING for details).