![Associate Professor Jordan Boyd-Graber to appear on Jeopardy on September 26th 2018 | UMD Department of Computer Science Associate Professor Jordan Boyd-Graber to appear on Jeopardy on September 26th 2018 | UMD Department of Computer Science](https://www.cs.umd.edu/sites/default/files/images/article/2018/JBG_jeopardy.jpg)
Associate Professor Jordan Boyd-Graber to appear on Jeopardy on September 26th 2018 | UMD Department of Computer Science
Niklas Stoehr on LinkedIn: Jordan Boyd-Graber is visiting our NLP groups at ETH Zürich and the ETH AI…
Niklas Stoehr on LinkedIn: Jordan Boyd-Graber is visiting our NLP groups at ETH Zürich and the ETH AI…
![Applications of Topic Models (Foundations and Trends(r) in Information Retrieval): 9781680833089: Computer Science Books @ Amazon.com Applications of Topic Models (Foundations and Trends(r) in Information Retrieval): 9781680833089: Computer Science Books @ Amazon.com](https://m.media-amazon.com/images/I/416JX-fDzAS._AC_UF1000,1000_QL80_.jpg)
Applications of Topic Models (Foundations and Trends(r) in Information Retrieval): 9781680833089: Computer Science Books @ Amazon.com
UMD College of Information Studies - Dr. Jordan Boyd-Graber and researchers at UMD are developing more than 1,200 AI stumping questions to build machines that truly understand human language and can interpret
Department of Computer Science, UMD on LinkedIn: In a world where technology often feels omnipresent, Kamal Narra, a…
Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik, Deborah Cai, Jennifer Midberry, and Yuanxin Wang. Modeling Topic Control to D
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