Justine T. Kao

According to our database, Justine T. Kao authored at least 12 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Noise Robust Named Entity Understanding for Voice Assistants.

Deepak Muralidharan, Joel Ruben Antony Moniz, Sida Gao, Xiao Yang, Justine T. Kao, Stephen Pulman, Atish Kothari, Ray Shen, Yinying Pan, Vivek Kaul, Mubarak Seyed Ibrahim, Gang Xiang, Nan Dun, Yidan Zhou, Andy O, Yuan Zhang, Pooja Chitkara, Xuan Wang, Alkesh Patel, Kushal Tayal, Roger Zheng, Peter Grasch, Jason D. Williams, Lin Li

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

2020

Noise-robust Named Entity Understanding for Virtual Assistants.

Deepak Muralidharan, Joel Ruben Antony Moniz, Sida Gao, Xiao Yang, Lin Li, Justine T. Kao, Stephen Pulman, Atish Kothari, Ray Shen, Yinying Pan, Vivek Kaul, Mubarak Seyed Ibrahim, Gang Xiang, Nan Dun, Yidan Zhou, Andy O, Yuan Zhang, Pooja Chitkara, Xuan Wang, Alkesh Patel, Kushal Tayal, Roger Zheng, Peter Grasch, Jason D. Williams

CoRR, 2020

2019

Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant.

Deepak Muralidharan, Justine T. Kao, Xiao Yang, Lin Li, Lavanya Viswanathan, Mubarak Seyed Ibrahim, Kevin Luikens, Stephen Pulman, Ashish Garg, Atish Kothari, Jason D. Williams

CoRR, 2019

Active Learning for Domain Classification in a Commercial Spoken Personal Assistant.

Xi C. Chen, Adithya Sagar, Justine T. Kao, Tony Y. Li, Christopher Klein, Stephen Pulman, Ashish Garg, Jason D. Williams

Proceedings of the Interspeech 2019, 2019

2016

A Computational Model of Linguistic Humor in Puns.

Justine T. Kao, Roger Levy, Noah D. Goodman

Cogn. Sci., 2016

Empirical and Computational Approaches to Metaphor and Figurative Meaning.

Justine T. Kao, Noah D. Goodman

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

What does the crowd believe? A hierarchical approach to estimating subjective beliefs from empirical data.

Michael Franke, Fabian Dablander, Anthea Schöller, Erin Bennett, Judith Degen, Michael Henry Tessler, Justine T. Kao, Noah D. Goodman

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

Let's talk (ironically) about the weather: Modeling verbal irony.

Justine T. Kao, Noah D. Goodman

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Formalizing the Pragmatics of Metaphor Understanding.

Justine T. Kao, Leon Bergen, Noah D. Goodman

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

The Funny Thing About Incongruity: A Computational Model of Humor in Puns.

Justine T. Kao, Roger Levy, Noah D. Goodman

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2011

Speech recognitionwith segmental conditional random fields: A summary of the JHU CLSP 2010 Summer Workshop.

Geoffrey Zweig, Patrick Nguyen, Dirk Van Compernolle, Kris Demuynck, Les E. Atlas, Pascal Clark, Gregory Sell, Meihong Wang, Fei Sha, Hynek Hermansky, Damianos G. Karakos, Aren Jansen, Samuel Thomas, Sivaram G. S. V. S., Samuel R. Bowman, Justine T. Kao

Proceedings of the IEEE International Conference on Acoustics, 2011

Discriminative duration modeling for speech recognition with segmental conditional random fields.

Justine T. Kao, Geoffrey Zweig, Patrick Nguyen

Proceedings of the IEEE International Conference on Acoustics, 2011