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Expressive Interviewing: A Conversational System for Coping with COVID-19.

, , , , , , , , and . NLP4COVID@EMNLP, Association for Computational Linguistics, (2020)

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An Efficient Algorithm for Finding Large Localizable Regions in Wireless Sensor Networks., and . ANT/SEIT, volume 19 of Procedia Computer Science, page 1081-1087. Elsevier, (2013)Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy., , , and . NAACL-HLT, page 4926-4938. Association for Computational Linguistics, (2022)Leveraging Longitudinal Data for Personalized Prediction and Word Representations.. University of Michigan, USA, (2021)Nearest Neighbor Language Models for Stylistic Controllable Generation., , and . CoRR, (2022)Understanding Interpersonal Conflict Types and their Impact on Perception Classification., , , and . CoRR, (2022)Learning From Personal Longitudinal Dialog Data., , , , and . IEEE Intell. Syst., 34 (4): 16-23 (2019)Exploring the Value of Personalized Word Embeddings., , , and . COLING, page 6856-6862. International Committee on Computational Linguistics, (2020)Knowledge Enhanced Reflection Generation for Counseling Dialogues., , , , and . ACL (1), page 3096-3107. Association for Computational Linguistics, (2022)Entity and Event Extraction from Scratch Using Minimal Training Data., , , , , , , and . TAC, NIST, (2018)Style Locality for Controllable Generation with kNN Language Models., , and . CoRR, (2023)