StructED: Risk minimization in structured prediction

Yossi Adi, Joseph Keshet

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Structured tasks are distinctive: each task has its own measure of performance, such as the word error rate in speech recognition, the BLEU score in machine translation, the NDCG score in information retrieval, or the intersection-over-union score in visual object segmentation. This paper presents STRUCTED, a software package for learning structured prediction models with training methods that aimed at optimizing the task measure of performance. The package was written in Java and released under the MIT license. It can be downloaded from

Original languageAmerican English
JournalJournal of Machine Learning Research
StatePublished - 1 May 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
©2016 Yossi Adi and Joseph Keshet.


  • CRF
  • Direct loss minimization
  • Structural SVM
  • Structured prediction


Dive into the research topics of 'StructED: Risk minimization in structured prediction'. Together they form a unique fingerprint.

Cite this