Publications

* indicates members of my research team (see CV or Team for details)

 

• Baris Karacan, Vaibhav Bhargava, Barbara Di Eugenio, Natalie Parde, Mary Khetani, Yu-Shan Tseng, Vanessa Barbosa, Julie Vignato, Lindsey Knake, Rajashree Dahal,* Emily Spellman, Danielle Hitzel, Janine Petitgout, Kristi Haughey, Amanda Karstens, Brianna Clarahan, Rachel Dawson, Lauren Boyd, Mackenzie Weis, Angie Tipton, Jaewon Bae, Catherine K Craven, Karen Dunn Lopez, and Andrew D Boyd. Towards Multidisciplinary Summarization of Hospital Stays: Efficient Sentence-Level Clinical Provenance Categorization. To appear in Proceedings of the 24th International Conference on Artificial Intelligence in Medicine. Ottawa, Canada, July 7-10, 2026.
• Rajashree Dahal,* Pardis Hosseinpour, Pranithi Kamishetty, Satwik Pamulaparthy, Saeid Tizpaz-Niari, and Natalie Parde. Investigating Stigmatizing Language in Clinical Documentation with Open-Source Large Language Models. In Proceedings of the 25th BioNLP Workshop. San Diego, California, July 3-4, 2026.
• Shweta Parihar, Guangliang Liu, Natalie Parde, and Lu Cheng. 2026. Context-Aware Counterfactual Data Augmentation for Gender Bias Mitigation in Language Models. ACM SIGKDD Explorations Newsletter, Volume 28, Issue 1 (June 2026), 21–31.
• Gyeongeun Lee* and Natalie Parde. Empathy Speaks in Metaphors: The Empathy-Metaphor Corpus of Figurative Language in Empathetic Text. In Proceedings of the 15th Edition of the Language Resources and Evaluation Conference (LREC 2026). Palma de Mallorca, Spain, May 11-16, 2026.
• Mohammad Arvan, Hossein Haeri, Natalie Parde, and Rebecca Feinstein. UIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answering. In Proceedings of the 3rd Workshop on Patient-Oriented Language Processing (CL4Health 2026). Palma de Mallorca, Spain, May 12, 2026.
• Neeraj Chhabra, Usman Shahid,* Natalie Parde, Majid Afshar, and Niranjan Karnik. The Authors Respond to Reader Comment Regarding Machine Learning Models to Detect Opioid Misuse in Emergency Department Patients at Triage. The American Journal of Emergency Medicine. 2026. doi:10.1016/j.ajem.2026.05.015.
• Usman Shahid,* Natalie Parde, Dale L Smith, Grayson Dickinson, Joseph Bianco, Dillon Thorpe, Madhav Hota, Majid Afshar, Niranjan S Karnik, and Neeraj Chhabra. Development and Evaluation of Machine Learning Models for the Detection of Emergency Department Patients with Opioid Misuse from Clinical Notes. JAMIA Open. 2026; 9(2). doi:10.1093/jamiaopen/ooag042.
• Chirag Chhablani, Usman Shahid,* Natalie Parde, Sami Muslmani, Huiyi Hu, Dillon Thorpe, Majid Afshar, Niranjan Karnik, and Neeraj Chhabra. Machine learning models to detect opioid misuse in emergency department patients at triage. The American Journal of Emergency Medicine. 2026; 104:17-23. doi:10.1016/j.ajem.2026.02.037.
• Bernard Weigel, Quincy McCrary, Kara Zweerink, Natalie Parde, and Neeraj Chhabra. The National Poison data System®: a bibliographic review of publication trends and topic modeling using language models. Clinical Toxicology. 2025; 63(12). doi:10.1080/15563650.2025.2586077.
• Calliope Bandera,* Gyeongeun Lee,* and Natalie Parde. Unveiling Empathic Triggers in Online Interactions via Empathy Cause Identification. In Proceedings of the International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2025). Mumbai, India, December 20-24, 2025.
  • 🗳️ Best Paper Award Nominee
• Xiaoxu Ding, Viet Dao, Al Raimundo, Suhail Nanji, Christine Mulligan, Julia Schmidt, Natalie Parde, Brodie Sakakibara, Liisa Holsti, and Skye Barbic. Virtual, In-Person and Hybrid Utilization Patterns of Youth Accessing Integrated Youth Services: A Retrospective Cohort Study of Youth Ages 12–24. Journal of Adolescent Health. 2025. doi:10.1016/j.jadohealth.2025.09.013.
• Xiaoxu Ding, Kirsten Marchand, Liisa Holsti, Julia Schmidt, Natalie Parde, Brodie Sakakibara, and Skye Barbic. Unlocking Mobile Health Adoption: A Qualitative Exploration of User Experiences, Barriers, and Facilitators within Integrated Youth Services in British Columbia, Canada. Digital Health. 2025. doi:10.1177/20552076251365073.
• Mohammad Arvan* and Natalie Parde. ReproHum: #0744-02: Investigating the Reproducibility of Semantic Preservation Human Evaluations. In Proceedings of the Generation, Evaluation & Metrics Workshop (GEM 2025). Vienna, Austria, July 31, 2025.
• Gyeongeun Lee,* Zhu Wang, Sathya Ravi, and Natalie Parde. From Heart to Words: Generating Empathetic Responses via Integrated Figurative Language and Semantic Context Signals. In Findings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings 2025). Vienna, Austria, July 27-August 1, 2025.
• Xiaoxu Ding, Liisa Holsti, Julia Schmidt, Natalie Parde, Brodie Sakakibara, and Skye Barbic. “You can’t categorize lived experiences”: Understanding youth engagement in mobile health in an integrated youth services setting. Digital Health. 2025; 11. doi:10.1177/20552076251355345.
• Lauren McBride, Varsha D. Badal, Philip D. Harvey, Amy Pinkham, Ankit Aich,* Natalie Parde, and Colin Depp. Evaluating Natural Language Processing Derived Linguistic Features Associated with Current Suicidal Ideation, Past Attempts, and Future Suicidal Behavior. Journal of Psychiatric Research. 2025; 187: 25-33. doi:10.1016/j.jpsychires.2025.05.004.
• Ankit Aich,* Avery Quynh, Pamela Osseyi, Amy Pinkham, Philip Harvey, Brenda Curtis, Colin Depp, and Natalie Parde. Using LLMs to Aid Annotation and Collection of Clinically-Enriched Data in Bipolar Disorder and Schizophrenia. In the Proceedings of the 2025 Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2025). Albuquerque, New Mexico, May 3, 2025.
• Gyu-Ho Shin and Natalie Parde. Introduction: Explainability, AI literacy, and language development. Computer Speech & Language. 2025; 91:C. doi:10.1016/j.csl.2024.101766.
• Neeraj Chhabra, Dale Smith, Natalie Parde, Nicole Hsing-Smith, Joseph M. Bianco, Richard Taylor, Gail D’Onofrio, and Niranjan S. Karnik. Racial, Ethnic, and Sex Disparities in Buprenorphine Treatment from Emergency Departments by Discharge Diagnosis. Academic Emergency Medicine. 2025; 00: 1-9. doi:10.1111/acem.70035.
• Shahla Farzana,* Ivana Lucero, Vivian Villegas, Vera Kaelin, Mary Khetani, and Natalie Parde. CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric Rehabilitation. In the Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024). Miami, Florida, November 12-16, 2024.
• Shahla Farzana* and Natalie Parde. Domain Adaptation via Prompt Learning for Alzheimer’s Detection. In the Findings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings 2024). Miami, Florida, November 12-16, 2024.
• Gyeongeun Lee,* Zhu Wang, Sathya N. Ravi, and Natalie Parde. EmpatheticFIG at WASSA 2024 Empathy and Personality Shared Task: Predicting Empathy and Emotion in Conversations with Figurative Language. In the Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA 2024). Bangkok, Thailand, August 15, 2024.
• Natalie Parde. Example-Driven Course Slides on Natural Language Processing Concepts. In the Proceedings of the Sixth Workshop on Teaching NLP (TeachingNLP 2024). Bangkok, Thailand, August 15, 2024.
• Gyeongeun Lee,* Christina Wong,* Meghan Guo,* and Natalie Parde. Pouring Your Heart Out: Investigating the Role of Figurative Language in Online Expressions of Empathy. In the Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, August 11-16, 2024.
• Sharad Chandakacherla,* Vaibhav Bhargava,* and Natalie Parde. UIC NLP GRADS at SemEval-2024 Task 3: Two-Step Disjoint Modeling for Emotion-Cause Pair Extraction. In the Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval 2024). Mexico City, Mexico, June 20-21, 2024.
• Shahla Farzana,* Edoardo Stoppa,* Alex Leow, Tamar Gollan, Raeanne Moore, David Salmon, Douglas Galasko, Erin Sundermann, and Natalie Parde. SLaCAD: A Spoken Language Corpus for Early Alzheimer’s Disease Detection. In the Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Turin, Italy, May 20-25, 2024.
• Gyeongeun Lee* and Natalie Parde. AcnEmpathize: A Dataset for Understanding Empathy in Dermatology Conversations. In the Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Turin, Italy, May 20-25, 2024.
• Mina Valizadeh,* Vera Kaelin, Mary Khetani, and Natalie Parde. CareCorpus: A Corpus of Real-World Solution-Focused Caregiver Strategies for Personalized Pediatric Rehabilitation Service Design. In the Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Turin, Italy, May 20-25, 2024.
• Baris Karacan, Ankit Aich,* Avery Quynh, Amy Pinkham, Philip Harvey, Colin Depp, and Natalie Parde. Towards Comprehensive Language Analysis for Clinically Enriched Spontaneous Dialogue. In the Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Turin, Italy, May 20-25, 2024.
• Youheng Wong, Natalie Parde, and Erdem Koyuncu. Humanistic Buddhism Corpus: A Challenging Domain-Specific Dataset of English Translations for Classical and Modern Chinese. In the Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Turin, Italy, May 20-25, 2024.
• Hoang Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, and Philip Yu. CORI: CJKV Benchmark with Romanization Integration - A step towards Cross-lingual Transfer Beyond Textual Scripts. In the Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Turin, Italy, May 20-25, 2024.
• Mohammad Arvan* and Natalie Parde. ReproHum #0712-01: Human Evaluation Reproduction Report for “Hierarchical Sketch Induction for Paraphrase Generation.” In the Proceedings of the 2024 Workshop on Human Evaluation of NLP Systems (HumEval 2024). Turin, Italy, May 21, 2024.
• Gyeongeun Lee,* Xunfei Jiang, and Natalie Parde. A Content-based Skincare Product Recommendation System. In the Proceedings of the 2023 International Conference on Machine Learning and Applications (ICMLA). Jacksonville, Florida, December 15-17, 2023.
• Edoardo Stoppa,* Guido Walter Di Donato, Isabella Poles, Eleonora D’Arnese, Natalie Parde, and Marco Domenico Santambrogio. A Graph Machine Learning Approach to Automatic Dementia Detection. In the Proceedings of the IEEE International Conference on Biomedical and Health Informatics (BHI 2023). Pittsburgh, Pennsylvania, October 15-18, 2023.
• Vera C. Kaelin, Andrew D. Boyd, Martha M. Werler, Natalie Parde, and Mary A. Khetani. Natural Language Processing to Classify Caregiver Strategies Supporting Participation Among Children and Youth with Craniofacial Microsomia and Other Childhood-Onset Disabilities. In the Journal of Healthcare Informatics Research, 2023.
• Mohammad Arvan* and Natalie Parde. Human Evaluation Reproduction Report for Data-to-text Generation with Macro Planning. In the Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems (HumEval 2023). Varna, Bulgaria, September 7, 2023.
• Vivian C. Villegas, Dianna L. Bosak, Zurisadai Salgado, Michelle Phoenix, Natalie Parde, Rachel Teplicky, Mary A. Khetani, and the High Value Early Intervention Research Group. Diversifying caregiver input to upgrade the Young Children’s Participation and Environment Measure for equitable pediatric re/habilitation practice. Journal of Patient-Reported Outcomes, 7(1), 87, 2023.
• Mohammad Arvan,* A. Seza Doğruöz, and Natalie Parde. Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective. In the Proceedings of the 24th INTERSPEECH Conference (INTERSPEECH 2023). Dublin, Ireland, August 20-24, 2023.
• Mohammad Arvan,* Mina Valizadeh,* Parian Haghighat, Toan Nguyen, Heejin Jeong, and Natalie Parde. Linguistic Cognitive Load Analysis on Dialogues with an Intelligent Virtual Assistant. In the Proceedings of the 2023 Annual Meeting of the Cognitive Science Society (CogSci 2023). Sydney, Australia, July 26-29, 2023.
• Shahla Farzana* and Natalie Parde. Towards Domain-Agnostic and Domain-Adaptive Dementia Detection from Spoken Language. In the Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). Toronto, Canada, July 9-14, 2023.
• Maja Popović, Mohammad Arvan,* Natalie Parde, and Anya Belz. Exploring Variation of Results from Different Experimental Conditions. In Findings of the Association for Computational Linguistics: ACL 2023 (ACL Findings 2023). Online, July 9-14, 2023.
• Xiaoxu Ding, Kelli Wuerth, Brodie Sakakibara, Julia Schmidt, Natalie Parde, Liisa Holsti, and Skye Barbic. Understanding Mobile Health and Youth Mental Health: A Scoping Review. JMIR mHealth and uHealth, 11, e44951, 2023.
• Sean S. Huang, Lelia H. Chaisson, William Galanter, Arash Jalali, Martha Menchaca, Natalie Parde, Jorge M. Rodríguez-Fernández, Andrew Trotter, and Karl M. Kochendorfer. Lessons learned: Development of COVID-19 clinical staging models at a large urban research institution. Journal of Clinical and Translational Science, 7(1), E113, 2023.
• Anya Belz, Craig Thomson, Ehud Reiter, Gavin Abercrombie, Jose M. Alonso-Moral, Mohammad Arvan,* Jackie Cheung, Mark Cieliebak, Elizabeth Clark, Kees van Deemter, Tanvi Dinkar, Ondřej Dušek, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, Malvina Nissim, Natalie Parde, Ondřej Plátek, Verena Rieser, Pablo Mosteiro Romero, Joel Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, and Diyi Yang. Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. In the Proceedings of the 2023 Workshop on Insights from Negative Results in NLP (Insights 2023). Dubrovnik, Croatia, May 5, 2023.
• Mina Valizadeh,* Xing Qian,* Pardis Ranjbar-Noiey,* Cornelia Caragea and Natalie Parde. What Clued the AI Doctor In? On the Influence of Data Source and Quality for Transformer-Based Medical Self-Disclosure Detection. In the Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023). Dubrovnik, Croatia, May 2-6, 2023.
• Ja Eun Yu, Natalie Parde, and Debaleena Chattopadhyay. “Where is history”: Toward Designing a Voice Assistant to Help Older Adults Locate Interface Features Quickly. In the Proceedings of the 2023 ACM CHI Conference on Human Factors in Computing Systems (CHI 2023). Hamburg, Germany, April 23-28, 2023.
• Parian Haghighat, Toan Nguyen, Mina Valizadeh,* Mohammad Arvan,* Natalie Parde, Myunghee Kim, and Heejin Jeong. Effects of an intelligent virtual assistant on office task performance and workload in a noisy environment. Applied Ergonomics, Volume 109, 2023.
• Devika Tiwari* and Natalie Parde. An Exploration of Linguistically-Driven and Transfer Learning Methods for Euphemism Detection. In the Proceedings of the Third Workshop on Figurative Language Processing (FigLang 2022). Abu Dhabi, United Arab Emirates, December 8, 2022.
• Ankit Aich,* Avery Quynh, Varsha Badal, Amy Pinkham, Philip Harvey, Colin Depp, and Natalie Parde. Towards Intelligent Clinically-Informed Language Analyses of People with Bipolar Disorder and Schizophrenia. In Findings of the Association for Computational Linguistics: EMNLP 2022 (EMNLP Findings 2022). Online, December 7-11, 2022.
• Mohammad Arvan,* Luís Pina, and Natalie Parde. Reproducibility in Computational Linguistics: Is Source Code Enough?. In the Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Abu Dhabi, United Arab Emirates, December 7-11, 2022.
• Souvik Bhattacharya,* Ankit Aich,* and Natalie Parde. Demystifying Neural Fake News via Linguistic Feature-Based Interpretation. In the Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022). Gyeongju, Republic of Korea, October 12-17, 2022.
• Shahla Farzana* and Natalie Parde. Are Interaction Patterns Helpful for Task-Agnostic Dementia Detection? An Empirical Exploration. In the Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2022). Edinburgh, Scotland, September 7-9, 2022.
• Edoardo Stoppa,* Guido Walter Di Donato, Natalie Parde, and Marco Domenico Santambrogio. Computer-Aided Dementia Detection: How Informative are Your Features? In the Proceedings of the 7th Forum on Research and Technologies for Society and Industry Innovation. Paris, France, August 24-26, 2022.
• Mohammad Arvan,* Luís Pina, and Natalie Parde. Reproducibility of Exploring Neural Text Simplification Models: A Review. In the Proceedings of the 2022 ReproGen Shared Task on Reproducibility of Evaluations in NLG (ReproGen 2022). Waterville, Maine, July 21, 2022.
• Ankit Aich* and Natalie Parde. Are You Really Okay? A Transfer Learning-based Approach for Identification of Underlying Mental Illnesses. In the Proceedings of the 2022 Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2022). Seattle, Washington, July 15, 2022.
• Charic Farinango Cuervo* and Natalie Parde. UIC-NLP at SemEval-2022 Task 5: Exploring Contrastive Learning for Multimodal Detection of Misogynistic Memes. In the Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval 2022). Seattle, Washington, July 14-15, 2022.
• Megan Herrera,* Ankit Aich,* and Natalie Parde. TweetTaglish: A Dataset for Investigating Tagalog-English Code-Switching. In the Proceedings of the 2022 Language Resources and Evaluation Conference (LREC 2022). Marseille, France, June 20-25, 2022.
• Ankit Aich* and Natalie Parde. Telling a Lie: Analyzing the Language of Information and Misinformation during Global Health Events. In the Proceedings of the 2022 Language Resources and Evaluation Conference (LREC 2022). Marseille, France, June 20-25, 2022.
• Shahla Farzana,* Ashwin Deshpande,* and Natalie Parde. How You Say It Matters: Measuring the Impact of Verbal Disfluency Tags on Automated Dementia Detection. In the Proceedings of the 21st Workshop on Biomedical Language Processing (BioNLP 2022). Dublin, Ireland, May 26, 2022.
• Mina Valizadeh* and Natalie Parde. The AI Doctor Is In: A Survey of Task-Oriented Dialogue Systems for Healthcare Applications. In the Proceedings of the 2022 Conference of the Association for Computational Linguistics (ACL 2022). Dublin, Ireland, May 22-27, 2022.
• Vera Kaelin, Mina Valizadeh,* Zurisadai Salgado, Julia Sim, Dana Anaby, Andrew Boyd, Natalie Parde, and Mary Khetani. Capturing and Operationalizing Participation in Pediatric Re/habilitation Research Using Artificial Intelligence: A Scoping Review. Frontiers in Rehabilitation Sciences (Special Issue). April 2022.
• Vera Kaelin, Mina Valizadeh,* Zurisadai Salgado, Natalie Parde, and Mary Khetani. Artificial Intelligence in Rehabilitation Targeting the Participation of Children and Youth With Disabilities: Scoping Review. Journal of Medical Internet Research 23(11):e25745. November 2021.
• Philip Hossu* and Natalie Parde. Using Deep Learning to Correlate Reddit Posts with Economic Time Series During the COVID-19 Pandemic. In the Proceedings of the 3rd Workshop on Financial Technology and Natural Language Processing (FinNLP). Online, August 21-26, 2021.
• Cade Gordon* and Natalie Parde. Latent Neural Differential Equations for Video Generation. In the Proceedings of Machine Learning Research (PMLR), Special Edition for Pre-Registration on Machine Learning, 148:73-86. July 9, 2021.
• Mina Valizadeh,* Pardis Ranjbar-Noiey,* Cornelia Caragea, and Natalie Parde. Identifying Medical Self-Disclosure in Online Communities. In the Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2021). Online, June 6-11, 2021.
• Philip Hossu* and Natalie Parde. UIC-NLP at SemEval-2020 Task 10: Exploring an Alternate Perspective on Evaluation. In the Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020). Barcelona, Spain, December 12-13, 2020.
• Cade Gordon* and Natalie Parde. Latent Neural Differential Equations for Video Generation (Proposal). In the Proceedings of the Preregistration Workshop on Machine Learning at NeurIPS 2020. Online, December 6-12, 2020.
• Shahla Farzana* and Natalie Parde. Exploring MMSE Score Prediction Using Verbal and Non-Verbal Cues. In the Proceedings of the 21st Conference of the International Speech Communication Association (INTERSPEECH 2020). Shanghai, China, October 25-29, 2020.
• Shahla Farzana,* Mina Valizadeh,* and Natalie Parde. Modeling Dialogue in Conversational Cognitive Health Screening Interviews. In the Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020). Marseilles, France, May 11-16, 2020.
• Flavio Di Palo* and Natalie Parde. Enriching Neural Models with Targeted Features for Dementia Detection. In the Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Student Research Workshop (ACL SRW 2019). Florence, Italy, July 28-August 2, 2019.
• Natalie Parde and Rodney D. Nielsen. AI Meets Austen: Towards Human-Robot Discussions of Literary Metaphor. In the Proceedings of the 20th International Conference on Artificial Intelligence in Education (AIED 2019). Chicago, Illinois, June 25-29, 2019.
• Yatri Modi* and Natalie Parde. The Steep Road to Happily Ever After: An Analysis of Current Visual Storytelling Models. In the Proceedings of the NAACL 2019 Workshop on Shortcomings in Vision and Language (SiVL 2019). Minneapolis, Minnesota, June 6, 2019.
• Shahla Farzana* and Natalie Parde. Virtual-Interviewer: A Conversational Agent Designed to Facilitate Cognitive Health Screening in Older Adults. In the Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics: Extended Abstracts (BHI 2019). Chicago, Illinois, May 19-22, 2019.
• Natalie Parde and Rodney D. Nielsen. User Perceptions of a Conversational Robot Interface. In the Proceedings of the CHI 2019 Workshop on Mapping Theoretical and Methodological Perspectives for Understanding Speech Interface Interactions (SpeechCHI 2019). Glasgow, United Kingdom, May 5, 2019.
• Natalie Parde and Rodney D. Nielsen. Automatically Generating Questions about Novel Metaphors in Literature. In the Proceedings of the 11th International Conference on Natural Language Generation (INLG 2018). Tilburg, The Netherlands, November 5-8, 2018.
• Natalie Parde and Rodney D. Nielsen. Detecting Sarcasm is Extremely Easy ;-). In the Proceedings of the NAACL 2018 Workshop on Computational Semantics Beyond Events and Roles (SemBEaR 2018). New Orleans, Louisiana, June 5, 2018.
• Natalie Parde and Rodney D. Nielsen. A Corpus of Metaphor Novelty Scores for Syntactically-Related Word Pairs. In the Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki, Japan, May 7-12, 2018.
• Natalie Parde and Rodney D. Nielsen. Exploring the Terrain of Metaphor Novelty: A Regression-based Approach for Automatically Scoring Metaphors. In the Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018). New Orleans, Louisiana, February 2-7, 2018.
• Natalie Parde. Reading with Robots: Towards a Human-Robot Book Discussion System for Elderly Adults. In the Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018) Doctoral Consortium. New Orleans, Lousiana, February 2-7, 2018.
• Natalie Parde and Rodney D. Nielsen. Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data. In the Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017). Copenhagen, Denmark, September 7-11, 2017.
• Nabila Salma, Bin Mai, Kamesh Namuduri, Rasel Mamun, Yassir Hashem, Hassan Takabi, Natalie Parde, and Rodney Nielsen. Using EEG Signal to Analyze IS Decision Making Cognitive Processes. In Information Systems and Neuroscience, Lecture Notes in Information Systems and Organisation.
  • 🏆 Winner of the Dr. Hermann Zemlicka Award for Most Visionary Paper at Gmunden Retreat on NeuroIS 2017.
• Masoud Narouei, Hamed Khanpour, Hassan Takabi, Rodney Nielsen and Natalie Parde. Towards a Top-down Policy Engineering Framework for Attribute-based Access Control. In Proceedings of the 22nd ACM Symposium on Access Control Models and Technologies. Indianapolis, Indiana, June 21-23, 2017.
• Natalie Parde and Rodney D. Nielsen. #SarcasmDetection is soooo general! Towards a Domain-Independent Approach for Detecting Sarcasm. In Proceedings of the 30th International FLAIRS Conference (FLAIRS 2017). Marco Island, Florida, May 22-24, 2017.
• Natalie Parde, Adam Hair, Michalis Papakostas, Konstantinos Tsiakas, Maria Dagioglou, Vangelis Karkaletsis, and Rodney D. Nielsen. Grounding the Meaning of Words through Vision and Interactive Gameplay. In Proceedings of the 2015 International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25-31, 2015.
• Michalis Papakostas, Konstantinos Tsiakas, Natalie Parde, Vangelis Karkaletsis, and Fillia Makedon. An Interactive Framework for Learning User-Object Associations through Human-Robot Interaction. In Proceedings of the 8th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2015), Corfu, Greece, July 1-3, 2015.
• Natalie Parde, Michalis Papakostas, Konstantinos Tsiakas, and Rodney D. Nielsen. “Is It Rectangular?” Using I Spy as an Interactive, Game-Based Approach to Multimodal Robot Learning. In Proceedings of the AAAI-15 Conference on Artificial Intelligence Student Program, Austin, Texas, January 25-30, 2015.
• Natalie Parde, Michalis Papakostas, Konstantinos Tsiakas, Maria Dagioglou, Vangelis Karkaletsis, and Rodney D. Nielsen. I Spy: An Interactive Game-Based Approach to Multimodal Robot Learning. In Proceedings of the AAAI-15 Workshop on Knowledge, Skill, and Behavior Transfer in Autonomous Robots, Austin, Texas, January 25, 2015.
• Natalie Parde and Rodney D. Nielsen. Design Challenges and Recommendations for Multi-Agent Learning Systems Featuring Teachable Agents. In Proceedings of the 2nd Annual GIFT Users Symposium (GIFTSym2). Pittsburgh, Pennsylvania, June 12-13, 2014.
• Gayatri Mehta, Krunal K. Patel, Natalie Parde, and Nancy S. Pollard. Data-driven mapping using local patterns. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 32.11 (2013): 1668-1681.
• Gayatri Mehta, Xiaozhong Luo, Natalie Parde, Krunal Patel, Brandon Rodgers and Anil Kumar Sistla. UNTANGLED - An interactive mapping game for engineering education. In Proceedings of 2013 IEEE International Conference on Microelectronic Systems Education (MSE 2013), Austin, TX, 2013.
• Gayatri Mehta, Carson Crawford, Xiaozhong Luo, Natalie Parde, Krunal Patel, Brandon Rodgers, Anil Sistla, Anil Yadav, and Marc Reisner. (2013). UNTANGLED – A game environment for discovery of creative mapping strategies. ACM Transactions on Reconfigurable Technology and Systems 6.3 (2013): 1-26.
• Anil Sistla, Natalie Parde, Krunal Patel, and Gayatri Mehta. Cross-architectural study of custom reconfigurable devices using crowdsourcing. In Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing Workshops and PhD Forum (IPDPSW 2013), Boston, Massachusetts, May 20-24, 2013.