Michaeel Kazi


2017

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Implicitly-Defined Neural Networks for Sequence Labeling
Michaeel Kazi | Brian Thompson
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

In this work, we propose a novel, implicitly-defined neural network architecture and describe a method to compute its components. The proposed architecture forgoes the causality assumption used to formulate recurrent neural networks and instead couples the hidden states of the network, allowing improvement on problems with complex, long-distance dependencies. Initial experiments demonstrate the new architecture outperforms both the Stanford Parser and baseline bidirectional networks on the Penn Treebank Part-of-Speech tagging task and a baseline bidirectional network on an additional artificial random biased walk task.

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The AFRL-MITLL WMT17 Systems: Old, New, Borrowed, BLEU
Jeremy Gwinnup | Timothy Anderson | Grant Erdmann | Katherine Young | Michaeel Kazi | Elizabeth Salesky | Brian Thompson | Jonathan Taylor
Proceedings of the Second Conference on Machine Translation

2016

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The AFRL-MITLL WMT16 News-Translation Task Systems
Jeremy Gwinnup | Tim Anderson | Grant Erdmann | Katherine Young | Michaeel Kazi | Elizabeth Salesky | Brian Thompson
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers

2015

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The AFRL-MITLL WMT15 System: There’s More than One Way to Decode It!
Jeremy Gwinnup | Tim Anderson | Grant Erdmann | Katherine Young | Christina May | Michaeel Kazi | Elizabeth Salesky | Brian Thompson
Proceedings of the Tenth Workshop on Statistical Machine Translation