TY - JOUR
T1 - StructED
T2 - Risk minimization in structured prediction
AU - Adi, Yossi
AU - Keshet, Joseph
N1 - Publisher Copyright:
©2016 Yossi Adi and Joseph Keshet.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - 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 http://adiyoss.github.io/StructED/.
AB - 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 http://adiyoss.github.io/StructED/.
KW - CRF
KW - Direct loss minimization
KW - Structural SVM
KW - Structured prediction
UR - http://www.scopus.com/inward/record.url?scp=84979934267&partnerID=8YFLogxK
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AN - SCOPUS:84979934267
SN - 1532-4435
VL - 17
JO - Journal of Machine Learning Research
JF - Journal of Machine Learning Research
ER -