no code implementations • IWSLT 2016 • Michaeel Kazi, Elizabeth Salesky, Brian Thompson, Jonathan Taylor, Jeremy Gwinnup, Timothy Anderson, Grant Erdmann, Eric Hansen, Brian Ore, Katherine Young, Michael Hutt
This report summarizes the MITLL-AFRL MT and ASR systems and the experiments run during the 2016 IWSLT evaluation campaign.
no code implementations • 12 Feb 2023 • Xavier Amatriain, Ananth Sankar, Jie Bing, Praveen Kumar Bodigutla, Timothy J. Hazen, Michaeel Kazi
The goal of this paper is to offer a somewhat comprehensive but simple catalog and classification of the most popular Transformer models.
no code implementations • 16 Aug 2021 • Weiwei Guo, Xiaowei Liu, Sida Wang, Michaeel Kazi, Zhiwei Wang, Zhoutong Fu, Jun Jia, Liang Zhang, Huiji Gao, Bo Long
Building a successful search system requires a thorough understanding of textual data semantics, where deep learning based natural language processing techniques (deep NLP) can be of great help.
no code implementations • 30 Jul 2021 • Weiwei Guo, Xiaowei Liu, Sida Wang, Michaeel Kazi, Zhoutong Fu, Huiji Gao, Jun Jia, Liang Zhang, Bo Long
Many search systems work with large amounts of natural language data, e. g., search queries, user profiles and documents, where deep learning based natural language processing techniques (deep NLP) can be of great help.
no code implementations • ACL 2017 • Michaeel Kazi, Brian Thompson
In this work, we propose a novel, implicitly-defined neural network architecture and describe a method to compute its components.