structured-learning

Mining Argument Structures with Expressive Inference (Linear and LSTM Engines)

Structured Gradient Tree Boosting

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

Risk Minimization Algorithms in Structured Prediction (JMLR 2016)

Automatic Measurement of Vowel Duration for Consonant Vowel Consonant (CVC) sound files (JASA 2016)

An open source package for performing supervised learning in structured prediction tasks. It implements conditional random fields (CRFs) models from (1) first-order to higher-order linear-chain CRFs, and from (2) first-order to higher-order semi-Markov CRFs (semi-CRFs)

Code for Joint Modeling of NER, Relation Extraction and Coreference Resolution using Constrained Conditional Models (work in progress)

CL Algorithm for Learning Bayesian Network Structures

An algorithm to detect leaders in social groups, based on Structured Support Vector Machines.

Supervised learning and structured prediction

My thesis

Implementation of BatchSVM, introduced in Vural, Volkan, et al. "Using local dependencies within batches to improve large margin classifiers." Journal of machine learning research 10.Feb (2009): 183-206.

Neural Structured Learning (Adversarial) with TensorFlow