Discriminative duration modeling for speech recognition with segmental conditional random fields. - Justine T. Kao; Geoffrey Zweig; Patrick Nguyen (ICASSP, 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; et al. (ICASSP, 2011)

The Funny Thing About Incongruity: A Computational Model of Humor in Puns. - Justine T. Kao; Roger Levy; Noah D. Goodman (CogSci, 2013)

Formalizing the Pragmatics of Metaphor Understanding. - Justine T. Kao; Leon Bergen; Noah D. Goodman (CogSci, 2014)

Let's talk (ironically) about the weather: Modeling verbal irony. - Justine T. Kao; Noah D. Goodman (CogSci, 2015)

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 (CogSci, 2016)

Empirical and Computational Approaches to Metaphor and Figurative Meaning. - Justine T. Kao; Noah D. Goodman (CogSci, 2016)

A Computational Model of Linguistic Humor in Puns. - Justine T. Kao; Roger Levy; Noah D. Goodman (Cogn. Sci., 2016)

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 (INTERSPEECH, 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)

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; et al. (CoRR, 2020)

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; et al. (NAACL-HLT (Industry Papers), 2021)

To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning. - Da JU; Song Jiang; Andrew Cohen; Aaron Foss; Sasha Mitts; Arman Zharmagambetov; Brandon Amos; Xian Li 003; Justine T. Kao; Maryam Fazel-Zarandi; Yuandong Tian (CoRR, 2024)

Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel Planning. - Song Jiang; Da JU; Andrew Cohen; Sasha Mitts; Aaron Foss; Justine T. Kao; Xian Li 003; Yuandong Tian (CoRR, 2024)

IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments. - Florian Bordes; Quentin Garrido; Justine T. Kao; Adina Williams; Michael Rabbat; Emmanuel Dupoux (CoRR, 2025)

CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video Models. - Aaron Foss; Chloe Evans; Sasha Mitts; Koustuv Sinha; Ammar Rizvi; Justine T. Kao (CoRR, 2025)