Publications
Authors:
Jean-Luc Meunier
Citation:
CAp 2017, Grenoble, France, 28 - 30 June 2017
Abstract:
This paper is concerned with structured machine learning, in a supervised machine learning context. It discusses how to make joint structured learning on interdependent objects of different nature, as well as how to enforce log-ical constraints when predicting labels.
We explain how this need arose in a Document Under-standing task. We then discuss a general extension to Conditional Random Fields (CRF) for this purpose and present the contributed open source implementation on top of the open source PyStruct library. We evaluate its performance on a publicly available dataset.
Year:
2017
Report number:
2017/204