Understanding emotion in discourse: Recognition insights and linguistic patterns for generation
Jeong, C., & Nyamathi, A.
Transactions on Machine Learning Research (TMLR) - To be submitted
MultiCAT: Multimodal communication annotations for teams
Pyarelal, A., Culnan, J. M., Qamar, A., Krishnaswamy, M., Wang, Y., Jeong, C., Chen, C., Miah, M. M. M., Hormozi, S., Tong, J., & Huang, R.
Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL). Association for Computational Linguistics.
Evaluation of personas and daily activity maps for improved clinical care and training models for effective human-robot interaction for persons with dementia: A qualitative study
Nyamathi, A., Rasouli, E., Jeong, C., Brunswicker, S., Agapie, E., Ludlow, D., Jawad, A., Khay, N., Lu, L., Ding, C., Liao, F., Farahani, F., Lee, J., Dutt, A., Rahmani, A., & Krogh, P.
Journal of Medical Internet Research (JMIR) - Under review
The effect of contrast-specific minimal pair competitor in hyperarticulation of VOT and F0 phonetic cues in Korean initial stops in tonogenetic sound change
Jeong, C., & Wedel, A.
Journal of Phonetics - Final round minor revision
2024
Establishing the foundations of emotional intelligence in care companion robots to mitigate agitation among high-risk patients with dementia: Protocol for an empathetic patient-robot interaction study
Nyamathi, A., Dutt, N., Lee, J.-A., Rahmani, A. M., Rasouli, M., Krogh, D., Krogh, E., Sultzer, D., Rashid, H., Liqat, H., Jawad, R., Azhar, F., Ahmad, A., Qamar, B., Bhatti, T. Y., Khay, C., Ludlow, J., Gibbs, L., Rousseau, J., Abbasian, M., Song, Y., Jeong, C., & Brunswicker, S.
Retrieval augmented generation of subjective explanations for socioeconomic scenarios
Dumitru, R., Alexeeva, M., Alcock, K., Ludgate, N., Jeong, C., Abdurahaman, Z. F., Puri, P., Krichhoff, B., Sadhu, S., & Surdeanu, M.
Proceedings of the Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS), pages 68–85, Mexico City, Mexico. Association for Computational Linguistics.
Linear discriminative learning: A competitive non-neural baseline for morphological inflection
Jeong, C., Schmitz, D., Kakolu Ramarao, A., Stein, A., & Tang, K.
Proceedings of the 20th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 138-150, Toronto, Canada. Association for Computational Linguistics.
The effect of cue-specific lexical competitors on hyperarticulation of VOT and F0 contrasts in Korean stops
Jeong, C., & Wedel, A.
Poster presented at Hanyang International Symposium on Phonetics and Cognitive Sciences of Language 2023 (HISPhonCog 2023). Hanyang University, Seoul, South Korea.
Data Study Group final report: Global Witness - Identifying unregulated mining sites using historical satellite data