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Justine T. Kao
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2020 – today
- 2021
- [c9]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:
Noise Robust Named Entity Understanding for Voice Assistants. NAACL-HLT (Industry Papers) 2021: 196-204 - 2020
- [i3]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:
Noise-robust Named Entity Understanding for Virtual Assistants. CoRR abs/2005.14408 (2020)
2010 – 2019
- 2019
- [c8]Xi C. Chen, Adithya Sagar, Justine T. Kao, Tony Y. Li, Christopher Klein, Stephen Pulman, Ashish Garg, Jason D. Williams
:
Active Learning for Domain Classification in a Commercial Spoken Personal Assistant. INTERSPEECH 2019: 1478-1482 - [i2]Xi C. Chen, Adithya Sagar, Justine T. Kao, Tony Y. Li, Christopher Klein, Stephen Pulman, Ashish Garg, Jason D. Williams:
Active Learning for Domain Classification in a Commercial Spoken Personal Assistant. CoRR abs/1908.11404 (2019) - [i1]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:
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant. CoRR abs/1909.09143 (2019) - 2016
- [j1]Justine T. Kao, Roger Levy, Noah D. Goodman:
A Computational Model of Linguistic Humor in Puns. Cogn. Sci. 40(5): 1270-1285 (2016) - [c7]Michael Franke, Fabian Dablander, Anthea Schöller, Erin Bennett, Judith Degen, Michael Henry Tessler, Justine T. Kao, Noah D. Goodman:
What does the crowd believe? A hierarchical approach to estimating subjective beliefs from empirical data. CogSci 2016 - [c6]Justine T. Kao, Noah D. Goodman:
Empirical and Computational Approaches to Metaphor and Figurative Meaning. CogSci 2016 - 2015
- [c5]Justine T. Kao, Noah D. Goodman:
Let's talk (ironically) about the weather: Modeling verbal irony. CogSci 2015 - 2014
- [c4]Justine T. Kao, Leon Bergen, Noah D. Goodman:
Formalizing the Pragmatics of Metaphor Understanding. CogSci 2014 - 2013
- [c3]Justine T. Kao, Roger Levy, Noah D. Goodman:
The Funny Thing About Incongruity: A Computational Model of Humor in Puns. CogSci 2013 - 2011
- [c2]Justine T. Kao, Geoffrey Zweig, Patrick Nguyen:
Discriminative duration modeling for speech recognition with segmental conditional random fields. ICASSP 2011: 4476-4479 - [c1]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:
Speech recognitionwith segmental conditional random fields: A summary of the JHU CLSP 2010 Summer Workshop. ICASSP 2011: 5044-5047
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