Publications

Yue Zhou, Henry Peng Zou, Barbara Di Eugenio, Yang Zhang. Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), Miami, Florida, USA, November 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 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 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 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 Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval), Mexico City, Mexico, June 20-21, 2024.

Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, and Yang Zhang. Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Mexico City, Mexico, June 16-21, 2024.

Mohammad Arvan and Natalie Parde. Human Evaluation Reproduction Report for “Hierarchical Sketch Induction for Paraphrase Generation.” In Proceedings of the 2024 Workshop on Human Evaluation of NLP Systems (HumEval), Turin, Italy, May 21, 2024.

Anuja Tayal, Barbara Di Eugenio, Devika Salunke, Andrew D. Boyd, Carolyn A. Dickens, Eulalia P. Abril, Olga Garcia-Bedoya, and Paula G. Allen-Meares. A Neuro-Symbolic Approach to Monitoring Salt Content in Food. In Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health), Turin, Italy, May 20, 2024.

Yue Zhou, Barbara Di Eugenio, Brian Ziebart, Lisa Sharp, Bing Liu, and Nikolaos Agadakos. Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 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 Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 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 Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Turin, Italy, May 20-25, 2024.

Krenare Pireva Nuci, Paul Landes, and Barbara Di Eugenio. RoBERTa Low Resource Fine Tuning for Sentiment Analysis in Albanian. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Turin, Italy, May 20-25, 2024. (Short Paper)

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 Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Turin, Italy, May 20-25, 2024.

Gyeongeun Lee and Natalie Parde. AcnEmpathize: A Dataset for Understanding Empathy in Dermatology Conversations. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Turin, Italy, May 20-25, 2024.

Paul Landes and Barbara Di Eugenio. CALAMR: Component ALignment for Abstract Meaning Representation. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 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 Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Turin, Italy, May 20-25, 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 Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Turin, Italy, May 20-25, 2024.

Giuseppe Concialdi, Alkis Koudounas, Eliana Pastor, Barbara Di Eugenio, and Elena Baralis. Ainur: Harmonizing Speed and Quality in Deep Music Generation through Lyrics-Audio Embeddings. In Proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, April 14-19, 2024.

Paul Landes, Barbara Di Eugenio, and Cornelia Caragea. DeepZensols: A Deep Learning Natural Language Processing Framework for Experimentation and Reproducibility. In Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS), pp. 141-146, Singapore, Singapore, December 6, 2023.

Rochana Chaturvedi, Mudassir Rashid, Brian Layden, Andrew Boyd, A. Cinar, and Barbara Di Eugenio. Sequential Representation of Sparse Heterogeneous Data for Diabetes Risk Prediction. In Proceedings of the 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul, Turkey, December 5-8, 2023.

Abari Bhattacharya, Abhinav Kumar, Barbara Di Eugenio, Roderick Tabalba, Jillian Aurisano, Veronica Grosso, Andrew Johnson, Jason Leigh, and Moira Zellner. Reference Resolution and New Entities in Exploratory Data Visualization: From Controlled to Unconstrained Interactions with a Conversational Assistant. In Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pp. 370-380, Prague, Czechia, September 13-15, 2023.

Afagh Mehri Shervedani, Siyu Li, Natawut Monaikul, Bahareh Abbasi, Barbara Di Eugenio, and Miloš Žefran. An End-to-End Human Simulator for Task-Oriented Multimodal Human-Robot Collaboration. In Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Busan, Korea, August 28-31, 2023.

Mohammad Arvan, A. Seza Doğruöz, and Natalie Parde. Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective. In Proceedings of the 24th INTERSPEECH Conference (INTERSPEECH), 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 Proceedings of the 2023 Annual Meeting of the Cognitive Science Society (CogSci), Sydney, Australia, July 26-29, 2023.

Paul Landes, Aaron J. Chaise, Kunal P. Patel, Sean S. Huang, and Barbara Di Eugenio. Hospital Discharge Summarization Data Provenance. In Proceedings of the 22nd Workshop on Biomedical Language Processing (BioNLP), Toronto, Canada, July 13, 2023.

Shahla Farzana and Natalie Parde. Towards Domain-Agnostic and Domain-Adaptive Dementia Detection from Spoken Language. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 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), Online, July 9-14, 2023.

Baris Karacan, Andrew D. Boyd, Karen Dunn Lopez, Pamela Martyn-Nemeth, Daniel Fraczkowski, Haleh Vatani, Carolyn Dickens, and Barbara Di Eugenio. Probing the EHR for Standardized Nursing Data. IEEE/ACM CHASE 2023, The International Conference on Connected Health: Applications, Systems and Engineering Technologies, June 21-23, 2023. (Poster)

Karen Dunn Lopez, Natany da Costa Oberfrank, S. Aggarwal, Haleh Vatani, Paul Landes, A. Davis, A. Lindstrom, M. Nowak, Andrew D. Boyd, Pamela Martyn-Nemeth, C. Wagner, Dan Fraczkowski, and Barbara Di Eugenio. Using NANDA-I nursing classifications to compare and harmonize disparate sources of care: handoff transcripts to locally derived electronic health record documentation. NANDA International Conference, Boston, MA, June 14-16, 2023. (Oral Presentation)

David A. Randolph, Barbara Di Eugenio, and Justin Badgerow. Modeling Piano Fingering Decisions with Conditional Random Fields. In Proceedings of the 2023 Sound and Music Computing Conference (SMC), Stockholm, Sweden, June 12-17, 2023.

Natawut Monaikul and Barbara Di Eugenio. Detecting Interlingual Errors: The Case of Prepositions. In Proceedings of the 19th International Conference on Intelligent Tutoring Systems (ITS), Corfu, Greece, June 2-5, 2023.

Karen Dunn Lopez, Natany da Costa Oberfrank, S. Aggarwal, Haleh Vatani, Paul Landes, A. Davis, A. Lindstrom, M. Nowak, Andrew D. Boyd, Pamela Martyn-Nemeth, C. Wagner, Dan Fraczkowski, and Barbara Di Eugenio. Usefulness of nursing handoffs and locally derived nursing documentation for research: a pilot study. AMIA (American Medical Informatics Association) Clinical Informatics Conference, Chicago, IL, May 23-25, 2023. (Oral Presentation)

Dan Fraczkowski, Karen Dunn Lopez, Pamela Martyn-Nemeth, Carolyn Dickens, Barbara Di Eugenio, Zenaida Joson, Baris Karacan, and Andrew D. Boyd. Decoding the data: Transforming Vendor Derived Nursing Care plans for Research Use in a Leading Commercial EHR. AMIA (American Medical Informatics Association) Clinical Informatics Conference, Chicago, IL, May 23-25, 2023. (Oral Presentation)

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 Proceedings of the 2023 Workshop on Insights from Negative Results in NLP (Insights), 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 Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 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 Proceedings of the 2023 ACM CHI Conference on Human Factors in Computing Systems (CHI), Hamburg, Germany, April 23-28, 2023.

Tabalba, Roderick S., Nurit Kirshenbaum, Jason Leigh, Abari Bhattacharya, Veronica Grosso, Barbara Di Eugenio, Andrew E. Johnson, and Moira Zellner. An Investigation into an Always Listening Interface to Support Data Exploration. In Proceedings of the 28th International Conference on Intelligent User Interfaces (ACM IUI), pp. 128-141, March 27-31, 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 109, January 24, 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.

Devika Tiwari and Natalie Parde. An Exploration of Linguistically-Driven and Transfer Learning Methods for Euphemism Detection. In Proceedings of the Third Workshop on Figurative Language Processing (FigLang), Abu Dhabi, United Arab Emirates, December 8, 2022.

Mohammad Arvan, Luís Pina, and Natalie Parde. Reproducibility in Computational Linguistics: Is Source Code Enough?. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Abu Dhabi, United Arab Emirates, December 7-11, 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), Online, December 7-11, 2022.

Yue Zhou, Barbara Di Eugenio, Brian Ziebart, Lisa Sharp, Bing Liu, Ben Gerber, Nikolaos Agadakos, and Shweta Yadav. Towards Enhancing Health Coaching Dialogue in Low-Resource Settings. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), Gyeongju, Republic of Korea, October 12-17, 2022.

Paul Landes, Kunal Patel, Sean Huang, Adam Webb, Barbara Di Eugenio, and Cornelia Caragea. A New Public Corpus for Clinical Section Identification: MedSecId. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), Gyeongju, Republic of Korea, October 12-17, 2022.

Souvik Bhattacharya, Ankit Aich, and Natalie Parde. Demystifying Neural Fake News via Linguistic Feature-Based Interpretation. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), Gyeongju, Republic of Korea, October 12-17, 2022.

Jillian Aurisano, Abeer Alsaiari, Abhinav Kumar, Barbara Di Eugenio, Andrew Johnson, Jason Leigh, and Moira Zellner. Ditto: Exploring data in large display environments through speech+mid-air gesture interaction. IEEE VIS, Oklahoma City, OK, October 2022. (Poster; Winner of Best Poster Award)

Zahra Fatemi, Abari Bhattacharya, Andrew Wentzel, Vipul Dhariwal, Lauren Levine, Andrew Rojecki, G. Elisabeta Marai, Barbara Di Eugenio, and Elena Zheleva. Understanding Stay-at-home Attitudes through Framing Analysis of Tweets. In Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA), October 2022

Devika Salunke, Itika Gupta, Barbara Di Eugenio, Paula G. Allen-Meares, Carolyn Dickens, Olga Garcia-Bedoya, and Andrew D. Boyd. Learnings From Pilot Testing HFChat, An Interactive Dialogue Agent That Can Assist Black/African American And Hispanic/Latino Patients With Heart Failure. HFSA Annual Scientific Meeting, September 30-October 3, 2022. (Abstract)

Shahla Farzana and Natalie Parde. Are Interaction Patterns Helpful for Task-Agnostic Dementia Detection? An Empirical Exploration. In Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 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 Proceedings of the 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI), Paris, France, August 24-26, 2022.

Mohammad Arvan, Luís Pina, and Natalie Parde. Reproducibility of Exploring Neural Text Simplification Models: A Review. In Proceedings of the 2022 ReproGen Shared Task on Reproducibility of Evaluations in NLG (ReproGen), Waterville, Maine, July 21, 2022.

Abari Bhattacharya, Rochana Chaturvedi, and Shweta Yadav. LCHQA-Summ: Multi-perspective Summarization of Publicly Sourced Consumer Health Answers. The First International Workshop on Natural Language Generation in Healthcare (NLG4Health), July 21, 2022. (Extended Abstract)

Ankit Aich and Natalie Parde. Are You Really Okay? A Transfer Learning-based Approach for Identification of Underlying Mental Illnesses. In Proceedings of the 2022 Workshop on Computational Linguistics and Clinical Psychology (CLPsych), 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 Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval), Seattle, Washington, July 14-15, 2022.

Roderick Tabalba, Nurit Kirshenbaum, Jason Leigh, Abari Bhattacharya, Andrew Johnson, Veronica Grosso, Barbara Di Eugenio, and Moira Zellner. Articulate+: An Always-Listening Natural Language Interface for Creating Data Visualizations. In Proceedings of the 4th Conference on Conversational User Interfaces (CUI), pp. 1-6, July 2022.

Megan Herrera, Ankit Aich, and Natalie Parde. TweetTaglish: A Dataset for Investigating Tagalog-English Code-Switching. In Proceedings of the 2022 Language Resources and Evaluation Conference (LREC), 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 Proceedings of the 2022 Language Resources and Evaluation Conference (LREC), 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 Proceedings of the 21st Workshop on Biomedical Language Processing (BioNLP), 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 Proceedings of the 2022 Conference of the Association for Computational Linguistics (ACL), Dublin, Ireland, May 22-27, 2022.

Devika Salunke, Itika Gupta, Barbara Di Eugenio, Paula G. Allen-Meares, Carolyn Dickens, Olga Garcia-Bedoya, and Andrew D.Boyd. Exploring Self-Care Needs Of African American And Hispanic/Latino Heart Failure Patients Outside Clinical Setting. Journal of Cardiac Failure 28(5), p. S34, April 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.

Mary H. Smart, Nadia A. Nabulsi, Ben S. Gerber, Itika Gupta, Barbara Di Eugenio, Brian Ziebart, and Lisa K. Sharp. A Remote Health Coaching, Text-Based Walking Program in Ethnic Minority Primary Care Patients With Overweight and Obesity: Feasibility and Acceptability Pilot Study. JMIR Formative Research 6(1), January 2022.

Barbara Di Eugenio, Davide Fossati, and Nick Green. Intelligent Support for Computer Science Education: Pedagogy Enhanced by Artificial Intelligence. CRC Press, September 2021.

Zhanibek Rysbek, Ki Hwan Oh, Bahareh Abbasi, Miloš Žefran, and Barbara Di Eugenio. Physical Action Primitives for Collaborative Decision Making in Human-Human Manipulation. In Proceedings of the 30th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), August 8-12, 2021.

Itika Gupta, Barbara Di Eugenio, Brian Ziebart, Bing Liu, Ben S. Gerber, and Lisa K. Sharp. Summarizing Behavioral Change Goals from SMS Exchanges to Support Health Coaches. In Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), Singapore, July 29-31, 2021.

David A. Randolph, Barbara Di Eugenio, and Justin Badgerow. Expected Reciprocal Rank for Evaluating Musical Fingering Advice. In Proceedings of the 18th Sound and Music Computing Conference, Torino, Italy, June 29-July 1, 2021

Mina Valizadeh, Pardis Ranjbar-Noiey, Cornelia Caragea, and Natalie Parde. Identifying Medical Self-Disclosure in Online Communities. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), Online, June 2021.

Xiao Dong, David A. Randolph, Chenkai Weng, Abel N. Kho, Jennie M. Rogers, and Xiao Wang. Developing high performance secure multi-party computation protocols in healthcare: A case study of patient risk stratification. In AMIA Joint Summits on Translational Science Proceedings, pp. 200–209, Online, March 22-25, 2021.

Itika Gupta, Devika Salunke, Barbara Di Eugenio, Paula G. Allen-Meares, Carolyn A. Dickens, Olga Garcia-Bedoya, and Andrew D. Boyd. An Interactive Dialogue Agent to Assist African American and Hispanic/Latino Heart Failure Patients with Self-Care Needs. Journal of Cardiac Failure 26(10), pp. S87-S88, October 2020.

Philip Hossu and Natalie Parde. UIC-NLP at SemEval-2020 Task 10: Exploring an Alternate Perspective on Evaluation. In Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval), Barcelona, Spain, December 12-13, 2020.

Cade Gordon and Natalie Parde. Latent Neural Differential Equations for Video Generation. In 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 Proceedings of the 21st Conference of the International Speech Communication Association (INTERSPEECH), Shanghai, China, October 25-29, 2020.

Natawut Monaikul, Bahareh Abbasi, Zhanibek Rysbek, Barbara Di Eugenio, and Miloš Žefran. Role Switching in Task-Oriented Multimodal Human-Robot Collaboration. In Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), August 2020.

Itika Gupta, Barbara Di Eugenio, Devika Salunke, Andrew D. Boyd, Paula Allen-Meares, Carolyn A. Dickens, and Olga Garcia-Bedoya. Heart Failure Education of African American and Hispanic/Latino Patients: Data Collection and Analysis. In Proceedings of the First Workshop on NLP for Medical Conversations, July 2020.

Itika Gupta, Barbara Di Eugenio, Brian Ziebart, Aiswarya Baiju, Bing Liu, Ben S. Gerber, Lisa K. Sharp, Nadia Nabulsi, and Mary H. Smart. Human-Human Health Coaching via Text Messages: Corpus, Annotation, and Analysis. In Proceedings of the 21st Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), Online, July 2020.

Natawut Monaikul and Barbara Di Eugenio. Detecting Preposition Errors to Target Interlingual Errors in Second Language Writing. In Proceedings of the 33rd International FLAIRS Conference, Miami, FL, May 17-20, 2020.

Abhinav Kumar, Jillian Aurisano, Barbara Di Eugenio, and Andrew Johnson. Intelligent Assistant for Exploring Data Visualizations. In Proceedings of the 33rd International FLAIRS Conference, Miami, FL, May 17-20, 2020.

Itika Gupta, Barbara Di Eugenio, Brian Ziebart, Bing Liu, Ben S. Gerber, and Lisa K. Sharp. Goal Summarization for Human-Human Health Coaching Dialogues. In Proceedings of the 33rd International FLAIRS Conference, Miami, FL, May 17-20, 2020. (Nominated for Best Student Paper)

Abhinav Kumar, Barbara Di Eugenio, Jillian Aurisano, and Andrew Johnson. Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory Visualization. In Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC). Marseille, France, May 11-16, 2020.

Shahla Farzana, Mina Valizadeh, and Natalie Parde. Modeling Dialogue in Conversational Cognitive Health Screening Interviews. In Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC), Marseilles, France, May 11-16, 2020.

Mehrdad Alizadeh and Barbara Di Eugenio. A Corpus for Visual Question Answering Annotated with Frame Semantic Information. In Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC), Marseille, France, May 11-16, 2020.

Omar AlZoubi, Barbara Di Eugenio, Davide Fossati, Nick Green, and Mehrdad Alizadeh. Learning Recursion: Insights from the ChiQat Intelligent Tutoring System. In Proceedings of the 12th International Conference on Computer Supported Education (CSEDU), May 2-4, 2020.

Xiao Dong, David A. Randolph, and Xiao Wang. The Feasibility of Garbled Circuits for Cross-Site Clinical Data Analytics. In Proceedings of the AMIA Informatics Summit, Houston, TX, March 23-26, 2020.

Xiao Dong and David A. Randolph. Toward a More Accurate Accrual to Clinical Trials: Joint Cohort Discovery using Bloom Filters and Homomorphic Encryption. In 
AMIA Joint Summits on Translational Science Proceedings, Houston, TX, March 23-26, 2020.

Mehrdad Alizadeh and Barbara Di Eugenio. Augmenting Visual Question Answering with Semantic Frame Information in a Multitask Learning Approach. In Proceedings of the 14th IEEE International Conference on Semantic Computing (ICSC), San Diego, CA, February 3-5, 2020. (Nominated for Best Paper Award)

Itika Gupta, Barbara Di Eugenio, Brian Ziebart, Bing Liu, Ben S. Gerber, and Lisa K. Sharp. Modeling Health Coaching Dialogues for Behavioral Goal Extraction. In Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, CA, November 18-21, 2019.

Xiao Dong, David A. Randolph, and Subhash Kolar Rajanna. Enabling Privacy Preserving Record Linkage Systems Using Asymmetric Key Cryptography. In AMIA Annual Symposium Proceedings, Washington, DC, November 16-20, 2019.

Haleh Vatani, Sabita Acharya, Andrew D. Boyd, Barbara Di Eugenio, Richard Cameron, Pamela Martyn-Nemeth, Debaleena Chattopadhyay, Pantea Habibi, Carolyn Dickens, Amer Ardati, and Karen Dunn Lopez. Patients’ Perceptions of Heart Failure Through the Lens of Standardized Nursing Terminologies. AMIA (American Medical Informations Association) Annual Symposium, November 16-20, 2019. (Oral Presentation)

Bahareh Abbasi, Natawut Monaikul, Zhanibek Rysbek, Barbara Di Eugenio, and Miloš Žefran. A Multimodal Human-Robot Interaction Manager for Assistive Robots. In Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, November 4-8, 2019.

Jillian Aurisano, Abhinav Kumar, Abeer Alsaiari, Barbara Di Eugenio, and Andrew E. Johnson. Evaluation of Scalable Interactions over Multiple Views in Large Display Environments. IEEE VIS, Vancouver, BC, Canada, October 20-25, 2019. (Poster)

Sabita Acharya, Barbara Di Eugenio, Andrew D. Boyd, Richard Cameron, Karen Dunn Lopez, Pamela Martyn-Nemeth, Debaleena Chattopadhyay, Pantea Habibi, Carolyn Dickens, Haleh Vatani, and Amer Ardati. A quantitative analysis of patients’ narratives of heart failure. In Proceedings of the 20th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pp. 232-236, Stockholm, Sweden, September 11-13, 2019.

Flavio Di Palo and Natalie Parde. Enriching Neural Models with Targeted Features for Dementia Detection.. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Student Research Workshop (ACL SRW), Florence, Italy, July 28-August 2, 2019.

Nick Green, Barbara Di Eugenio, and Davide Fossati. Towards adaptive worked-out examples in an Intelligent Tutoring System. In Proceedings of the 20th International Conference on Artificial Intelligence in Education (AIED), Chicago, IL, June 26-28, 2019. (Short Paper)

Natalie Parde and Rodney D. Nielsen. AI Meets Austen: Towards Human-Robot Discussions of Literary Metaphor. In Proceedings of the 20th International Conference on Artificial Intelligence in Education (AIED), 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 Proceedings of the NAACL 2019 Workshop on Shortcomings in Vision and Language (SiVL), Minneapolis, Minnesota, June 6, 2019.

Sabita Acharya, Barbara Di Eugenio, Andrew D. Boyd, Richard Cameron, Karen Dunn Lopez, Pamela Martyn-Nemeth, Debaleena Chattopadhyay, Pantea Habibi, Carolyn Dickens, Haleh Vatani, and Amer Ardati. Promoting Patient Engagement Through Personalized Hospital-Stay Summaries. In Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics: Extended Abstracts (BHI), Chicago, IL, May 19-22, 2019.

Shahla Farzana and Natalie Parde. Virtual-Interviewer: A Conversational Agent Designed to Facilitate Cognitive Health Screening in Older Adults. In Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics: Extended Abstracts (BHI), Chicago, Illinois, May 19-22, 2019.

Natalie Parde and Rodney D. Nielsen. User Perceptions of a Conversational Robot Interface. In Proceedings of the CHI 2019 Workshop on Mapping Theoretical and Methodological Perspectives for Understanding Speech Interface Interactions (SpeechCHI), Glasgow, United Kingdom, May 5, 2019.

Karen Dunn Lopez, Andrew Boyd, Sabita Acharya, Camillo Lugaresi, Tamara Maciera, Vanessa Sousa, Abhinaya Balasubramanian, Khawllah Roussi, Gail M. Keenan, Yves Lussier, Jianrong Li, Michel Burton, and Barbara Di Eugenio. Illustration of an Innovative Method to Analyze Electronic Health Record Documentation Data. Midwest Nursing Research Society’s 43rd Annual Research Conference, Kansas City, MO, March 27-30, 2019.

Xiao Dong, Eugene M. Sadhu, Subhash Kolar Rajanna, David A. Randolph, and Edward Barbour. TensorFlow enabled i2b2 emulator. AMIA (American Medical Informatics Association) Informatics Summit, March 25-28, 2019. (Oral Presentation)

Pantea Habibi, Sabita Acharya, Barbara Di Eugenio, Richard Cameron, Andrew D. Boyd, Karen Dunn Lopez, Pamela Martyn-Nemeth, Carolyn Dickens, Amer Ardati, and Debaleena Chattopadhyay. Designing Self-Care Technologies for HF Patients: A Conceptual Model. Workgroup on Interactive Systems in Healthcare (WISH): Extended Abstracts, Glasgow, UK, 2019.

Sabita Acharya, Andrew D. Boyd, Richard Cameron, Karen Dunn Lopez, Pamela Martyn-Nemeth, Carolyn Dickens, Amer Ardati, and Barbara Di Eugenio. Incorporating Personalization Features in a Hospital-Stay Summary Generation System. In Proceedings of the 52nd Hawaii International Conference on System Sciences, Maui, HI, Jan 8-11, 2019.

Natalie Parde and Rodney D. Nielsen. Automatically Generating Questions about Novel Metaphors in Literature. In Proceedings of the 11th International Conference on Natural Language Generation (INLG), Tilburg, Netherlands, November 5-8, 2018.

Sabita Acharya, Andrew D. Boyd, Richard Cameron, Karen Dunn Lopez, Pamela Martyn-Nemeth, Carolyn Dickens, Amer Ardati, Jose D. Flores, Matt Baumann, Betty Welland, and Barbara Di Eugenio. What Happened to Me while I Was in the Hospital? Challenges and Opportunities for Generating Patient-Friendly Hospitalization Summaries. Journal of Healthcare Informatics Research, 2018.

Itika Gupta, Barbara Di Eugenio, Brian Ziebart, Bing Liu, Ben Gerber, Lisa Sharp, Rafe Davis, and Aiswarya Baiju. Towards a Virtual Assistant Health Coach: Corpus Collection and Annotations. Grace Hopper Celebration (GHC), Houston, TX, September 26-28, 2018. (Poster)

David A. Randolph,  Justin Badgerow, Christopher Raphael, and Barbara Di Eugenio. Pydactyl: A Python framework for piano fingering. In Extended Abstracts for the Late-Breaking Demo Session of the 19th International Society for Music Information Retrieval Conference, Paris, France, September 23-27, 2018. (Poster)

Itika Gupta, Barbara Di Eugenio, Brian Ziebart, Bing Liu, Ben Gerber, Lisa Sharp, Rafe Davis, and Aiswarya Baiju. Towards a Virtual Assistant Health Coach: Corpus Collection and Annotations. ACM Richard Tapia Celebration of Diversity in Computing Conference and ACM Student Research Competition (SRC), Orlando, FL, September 19-22, 2018.

Itika Gupta, Barbara Di Eugenio, Brian Ziebart, Bing Liu, Ben Gerber, Lisa Sharp, Rafe Davis, and Aiswarya Baiju. Towards Building a Virtual Assistant Health Coach. In Proceedings of the Sixth IEEE International Conference on Healthcare Informatics (ICHI), pp. 419-421, New York City, NY, USA, June 4-7, 2018.

Itika Gupta, Barbara Di Eugenio, Brian Ziebart, Bing Liu, Ben Gerber, Lisa Sharp, Rafe Davis, and Aiswarya Baiju. Creating and Annotating a Corpus of Health Coaching Dialogue. The Second Widening Natural Language Processing (WiNLP) Workshop, New Orleans, LA, USA, June 1, 2018.

Sabita Acharya, Barbara Di Eugenio, Andrew D. Boyd, Richard Cameron, Karen Dunn Lopez, Pamela Martyn-Nemeth, Carolyn Dickens, and Amer Ardati. Towards generating personalized hospitalization summaries. In Proceedings of the NAACL Student Research Workshop, 2018.

Andrew D. Boyd, Karen Dunn Lopez, Camillo Lugaresi, Tamara Macieira, Vanessa Soussa, Sabita Acharya, Abhinaya Balasubramanian, Khawllah Roussi, Gail M. Keenan, Yves A. Lussier, Jianrong Li, Michel Burton, and Barbara Di Eugenio. Physician nurse care: A new use of UMLS to measure professional contribution. International Journal of Medical Informatics 113, pp. 63-71, May 2018.

Sabita Acharya, Andrew D. Boyd, Karen Dunn Lopez, Richard Cameron, and Barbara Di Eugenio. Determining Medical Term Complexity: Features Identification and Comparison of Classification Techniques. AMIA 2018 Clinical Informatics Conference, Scottsdale, AZ, May 8-10, 2018. (Poster)

Sabita Acharya, Barbara Di Eugenio, Andrew D. Boyd, Richard Cameron, Karen Dunn Lopez, Pamela Martyn-Nemeth, Carolyn Dickens, and Amer Ardati. Personalizing Hospital-Stay Summaries for Patients. ACM TAPIA Conference, Atlanta, GA, September 20-23, 2017. (Poster)

Abhinav Kumar, Barbara Di Eugenio, Jillian Aurisano,  Andrew Johnson, Abeer Alsaiari, Nigel Flowers, Alberto Gonzalez, and Jason Leigh. Towards Multimodal Coreference Resolution for Exploratory Data Visualization Dialogue: Context-Based Annotation and Gesture Identification. SemDial 2017, The 21st Workshop on the Semantics and Pragmatics of Dialogue, August 15-17,  Saarbrücken, Germany, 2018.

Cynthia Howard, Barbara Di Eugenio,  Pamela Jordan, and Sandra Katz. Exploring Initiative as a Signal of Knowledge Co-Construction During Collaborative Problem Solving. Cognitive Science, 41(6): 1422-1449, August 2017.

Rachel Harsley, Barbara Di Eugenio, Nick Green, and Davide Fossati. Collaborative Intelligent Tutoring Systems: Comparing Learner Outcomes Across Varying Collaboration Feedback Strategies. CSCL 2017, the 12th International Conference on Computer Supported Collaborative Learning, Philadelphia, PA, June 2017.

Rachel Harsley, Barbara Di Eugenio, Nick Green, and Davide Fossati. Enhancing an Intelligent Tutoring System to Support Student Collaboration: Effects on Learning and Behavior. AIED 2017, International Conference on Artificial Intelligence in Education, pp. 519-522, Wuhan, China, June-July 2017.

Rachel Harsley, Davide Fossati, Barbara Di Eugenio, and Nick Green. Interactions of Individual and Pair Programmers with an Intelligent Tutoring System for Computer Science. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science (SigCSE 17), 2017.

Cynthia Howard, Pamela Jordan, Barbara Di Eugenio, and Sandra Katz. Shifting the load: A peer dialogue agent that encourages its human collaborator to contribute more to problem solving. International Journal of Artificial Intelligence in Education 27 (1), pp. 101-129, 2017.

David A. Randolph and Barbara Di Eugenio. Dactylize: Automatically Collecting Piano Fingering Data from Performance (poster). In Extended Abstracts for the Late-Breaking Demo Session of the 17th International Society for Music Information Retrieval Conference, New York, USA, August 2016.

David A. Randolph and Barbara Di Eugenio. Easy as abcDE: Piano Fingering Transcription Online (poster). In Extended Abstracts for the Late-Breaking Demo Session of the 17th International Society for Music Information Retrieval Conference, New York, USA, August 2016.

Sabita Acharya, Barbara Di Eugenio, Andrew D. Boyd, Karen Dunn Lopez, Richard Cameron, and Gail M. Keenan. Generating Summaries of Hospitalizations: A New Metric to Assess the Complexity of Medical Terms and their Definitions. In Proceedings of the 9th International Natural Language Generation (INLG 2016), Edinburgh, UK, September 5-8, 2016 (Short paper).

Sabita Acharya, Barbara Di Eugenio, Andrew D. Boyd, and Karen Dunn Lopez. Towards Generating Comprehensible Hospital-Stay Summaries for Patients. 2016 International Conference on Healthcare Informatics (ICHI) Doctoral Consortium, IEEE, Chicago, IL, October 2016.

Abhinav Kumar, Jillian Aurisano, Barbara Di Eugenio, Andrew Johnson, Alberto Gonzalez, and Jason Leigh. Towards a Dialogue System that Supports Rich Visualizations of Data. The 17th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2016), Los Angeles, USA, September 13-15, 2016 (Short paper).

Jillian Aurisano, Abhinav Kumar, Alberto Gonzalez, Jason Leigh, Barbara Di Eugenio, and Andrew Johnson. Articulate2: Toward a Conversational Interface for Visual Data Exploration. VIS 2016, Baltimore, Maryland, October 2016.

Rachel Harsley, Bhavesh Gupta, Barbara Di Eugenio, and Huayi Li. Hit Songs’ Sentiments Harness Public Mood and Predict Stock Market. In Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, San Diego, CA, June 2016.

Nick Green, Barbara Di Eugenio, Rachel Harsley, Davide Fossati, and Omar AlZoubi. Behavior and Learning of Students using Worked-out Examples in a Tutoring System. 13th International Conference on Intelligent Tutoring Systems, Zagreb, Croatia, June 2016.

Rachel Harsley, Barbara Di Eugenio, Nick Green, Davide Fossati, and Sabita Acharya. Integrating Support for Collaboration in a Computer Science Intelligent Tutoring System. 13th International Conference on Intelligent Tutoring Systems, Zagreb, Croatia, June 2016.

Rachel Harsley, Nick Green, Barbara Di Eugenio, Sabita Acharya, Davide Fossati, and Omar AlZoubi. Collab-ChiQat: A Collaborative Remaking of a Computer Science Intelligent Tutoring System. CSCW ’16: Computer Supported Cooperative Work and Social Computing Companion Proceedings, San Francisco, CA, USA, 2016.

Rachel Harsley, Nick Green, Mehrdad Alizadeh, Sabita Acharya, Davide Fossati, Barbara Di Eugenio, and Omar AlZoubi. Incorporating Analogies and Worked Out Examples as Pedagogical Strategies in a Computer Science Tutoring System. In Proceedings of the 47th ACM Technical Symposium on Computer Science Education (SIGCSE), Memphis, TN, USA, 2016.

Khawllah Roussi, Vanessa Soussa, Karen D. Lopez, Abhinaya Balasubramanian, Gail M. Keenan, Mike Burton, Neil Bahroos, Barbara Di Eugenio, and Andrew D. Boyd. “Are we talking about the same patient?”. MEDINFO 2015: eHealth-enabled Health. Studies in Health Technology and Informatics 216, pp. 1059, Sao Paulo, Brazil, August 2015. (Poster)

Jillian Aurisano, Abhinav Kumar, Alberto Gonzales, Khairi Reda, Jason Leigh, Barbara Di Eugenio, and Andrew Johnson. “Show Me Data”. Observational Study of a Conversational Interface in Visual Data Exploration. IEEE Visualization Conference 2015, Chicago, IL, October 2015.

Joel Booth, Barbara Di Eugenio, Isabel F. Cruz, and Ouri Wolfson. Robust Natural Language Processing for Urban Trip Planning. Applied Artificial Intelligence 29 (9), pp.859-903, 2015.

Cynthia Howard, Pamela Jordan, Barbara Di Eugenio, and Sandra Katz. Shifting the Load: a Peer Dialogue Agent that Encourages its Human Collaborator to Contribute More to Problem Solving. International Journal of Artificial Intelligence in Education. Published online: 27 October 2015.

Nick Green, Davide Fossati, Barbara Di Eugenio, Rachel Harsley, Omar AlZoubi, and Mehrdad Alizadeh. Student Behavior with Worked-out Examples in a Computer Science Intelligent Tutoring System. 3rd International Conference on Educational Technologies, Florianópolis, Santa Catarina, Brazil, 2015.

Barbara Di Eugenio, Nick Green, Omar AlZoubi, Mehrdad Alizadeh, Rachel Harsley, and Davide Fossati. Worked-out Examples in a Computer Science Intelligent Tutoring System. The 16th Annual Conference on Information Technology Education, Chicago, IL, 2015.

Omar AlZoubi, Davide Fossati, Barbara Di Eugenio, Nick Green, Mehrdad Alizadeh, and Rachel Harsley. A Hybrid Model for Teaching Recursion. The 16th Annual Conference on Information Technology Education, Chicago, IL, 2015.

Rachel Harsley. Learning Together: Expanding the One-To-One ITS Model for Computer Science Education. In Proceedings of the 11th International Conference on Computing Education Research, Omaha, NE, 2015.

Rachel Harsley, Nick Green, Mehrdad Alizadeh, Aashish Tandon, and Anushri Prabhu. Sick Kitty – Toward Promoting Deductive Reasoning through an Embodied Medical Diagnosis Game. In Proceedings of the Games Learning Society (GLS) Conference, Madison, WA: ETC Press, 2015.

Lin Chen, Maria Javaid, Barbara Di Eugenio, and Miloš Žefran. The Roles and Recognition of Haptic-Ostensive Actions in Collaborative Multimodal Human–Human Dialogues. Computer Speech & Language, Vol 32(1), pp. 201-231, November 2015.

Nick Green, Omar AlZoubi, Mehrdad Alizadeh, Barbara Di Eugenio, Davide Fossati, and Rachel Harsley. A Scalable Intelligent Tutoring System Framework for Computer Science Education. 7th International Conference on Computer Supported Education (CSEDU’15), May 2015.

Mehrdad Alizadeh, Barbara Di Eugenio, Rachel Harsley, Nick Green, Davide Fossati, and Omar AlZoubi. A Study of Analogy in Computer Science Tutorial Dialogues. 7th International Conference on Computer Supported Education (CSEDU’15), May 2015.

Davide Fossati, Barbara Di Eugenio, Stellan Ohlsson, Christopher Brown, and Lin Chen. Data Driven Automatic Feedback Generation in the iList Intelligent Tutoring System. Technology, Instruction, Cognition and Learning, Vol 10(1), pp.5-26, 2015.

Rachel Harsley. Towards a Collaborative Intelligent Tutoring System Classification Scheme, Cognition and Exploratory Learning in Digital Age 2014, October 2014.

David Randolph. Didactyl: Toward a Useful Computational Model of Piano Fingering. Presented at the Chicago Colloquium on Digital Humanities and Computer Science, October 2014.

H. Wang, Barbara Di Eugenio, S. Lin, C. T. Yu. Distinguishing Different Types of Conference Submissions: The ACL Case Study. Presented at the Chicago Colloquium on Digital Humanities and Computer Science, October 2014.

Omar AlZoubi, Davide Fossati, Barbara Di Eugenio, and Nick Green. ChiQat-Tutor: An Integrated Environment for Learning Recursion. Proc. of the Second Workshop on AI-supported Education for Computer Science (AIEDCS) (at ITS 2014). Honolulu, HI, June 2014.

Barbara Di Eugenio, Andrew D. Boyd, Camillo Lugaresi, Abhinaya Balasubramanian, Gail M. Keenan, Mike Burton, Tamara G. Rezende Macieira, Karen Dunn Lopez, Carol Friedman, Jianrong Li, and Yves A. Lussier. PatientNarr: Towards generating patient-centric summaries of hospital stays, Proc. of the Eighth International Natural Language Generation Conference, INLG 2014, Philadelphia, PA, June 2014.

Miloš Žefran, Maria Javaid, and Barbara Di Eugenio. Communication through Physical Interaction: A Study of Human Collaborative Manipulation of a Planar Object, Proc. of the 23rd Annual IEEE International Symposium on Robot and Human Interactive Communication (IEEE RO-MAN 2014), Edinburgh, Scotland, August 2014.

Omar Alzoubi, Davide Fossati, Barbara Di Eugenio, Nick Green and Lin Chen. Predicting Students’ Performance and Problem Solving Behavior from iList Log Data. ICCE 2013, The 21st International Conference on Computers in Education, pp. 127-132, Nov 18-22, 2013, Bali, Indonesia.

Barbara Di Eugenio, Camillo Lugaresi, Gail M Keenan, Yves A. Lussier, Jianrong Li, Mike Burton, Carol Friedman, Andrew D. Boyd. HospSum: Integrating physician discharge notes with coded nursing care data to generate patient-centric summaries, American Medical Informatics Association AMIA 2013 Annual Symposium, Washington DC, November 16-20th, 2013 (Abstract).

Barbara Di Eugenio, Nick Green, Rajen Subba. Detecting Life Events in Feeds from Twitter. ICSC 2013, Seventh IEEE International Conference on Semantic Computing, Irvine CA, September 16-18, 2013.

Lin Chen and Barbara Di Eugenio. Multimodality and Dialogue Act Classification in the RoboHelper Project. SigDial 2013, the 14th Annual Meeting of the Special Interest Group on Discourse and Dialogue Metz, France, 22-24 August 2013, pp. 183–192.

Camillo Lugaresi and Barbara Di Eugenio. Translating Italian connectives into Italian Sign Language. ACL 2013,The 51st Annual Meeting of the Association for Computational Linguistics, Sofia, Bulgaria, August 4-9, 2013, pp. 270–280. Judged as one of the “10 best papers of ACL 2013″.

Yiwen Sun, Jason Leigh, Andrew Johnson and Barbara Di Eugenio. Articulate: Creating Meaningful Visualizations from Natural Language, In “Innovative Approaches of Data Visualization and Visual Analytics, Huang, M., Huang, W., editors. IGI Global

Barbara Di Eugenio, Lin Chen, Nick Green, Davide Fossati and Omar Alzoubi. Worked Out Examples in Computer Science Tutoring. AIED 2013, the 16th International Conference on Artificial Intelligence in Education, Memphis TN, July 2013 (Short paper).

Nick Green, Redge Bartholomew, Ugo Buy. Assessing Performance of Software Defined Radios on Multicore Hardware. SDR-WInnComm-Europe 2013, Munich Germany, June 2013.

Swati Tata and Barbara Di Eugenio. SongRecommend: From Summarization to Recommendation. Natural Language Engineering. Available on Cambridge Journals Online, FirstView Article, pp 1-39, Published online: 28 September 2012. DOI: http://dx.doi.org/10.1017/S1351324912000253

H.-J. Song, J.-W. Son, T.-G. Noh, S.-B. Park and S.-J. Lee. A Cost Sensitive Part-of-speech Tagging: Differentiating Serious Errors from Minor Errors. In ACL 2012, the 50th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Jeju, South Korea. July 8-14, 2012

Anruo Wang, Barbara Di Eugenio and Lin Chen. Improving Sentence Completion in Dialogues with Multi-Modal Features. In SIGDIAL 2012, the 13th SIGDIAL Meeting on Discourse and Dialogue, Seoul, South Korea. July 5-6, 2012.

Lin Chen and Barbara Di Eugenio. Co-reference via Pointing and Haptics in Multi-Modal Dialogues. In NAACL HLT 2012, the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Montreal, Quebec, Canada. June 3-8, 2012.

Lin Chen, Barbara Di Eugenio, Davide Fossati, Stellan Ohlsson and David Cosejo. Exploring Effective Dialogue Act Sequences in One-on-one Computer Science Tutoring Dialogues. In BEA6, The 6th Workshop on Innovative Use of NLP for Building Educational Applications, Portland, Oregon, USA. June 2011 (Poster).

Lin Chen, Anruo Wang and Barbara Di Eugenio. Improving Pronominal and Deictic Co-Reference Resolution with Multi-Modal Features. In SIGDIAL 2011, The 12th SIGDIAL Meeting on Discourse and Dialogue, Portland, Oregon, USA. June 2011 (Poster).

Barbara Di Eugenio, Milos Zefran, Jezekiel Ben-Arie, Mark Foreman, Lin Chen, Simone Franzini, Shankaranand Jagadeesan, Maria Javaid and Kai Ma. Towards Effective Communication with Robotic Assistants for the Elderly: Integrating Speech, Vision and Haptics. Dialog with Robots, AAAI 2010 Fall Symposium, Arlington, VA, USA. November 2010.

Adam Kurmally, Barbara Di Eugenio, Charles E. Kahn Jr. and Susan McRoy. Building a corpus and developing a question classifier to support messaging-based question answering. ACM International Health Informatics Symposium, IHI 2010, Arlington, VA, USA, November 2010.

Lin Chen and Barbara Di Eugenio. A Maximum Entropy Approach To Disambiguating VerbNet Classes. 2nd Interdisciplinary Workshop on Verbs, “The Identification and Representation of Verb Features”. Pisa, Italy. November 2010.

Barbara Di Eugenio, Zhuli Xie and Riccardo Serafin. “Dialogue Act Classification, Instance-Based Learning, and Higher Order Dialogue Structure“. Journal of Discourse and Dialogue Research. Vol. 1(2): 1-24, July 2010.

Barbara Di Eugenio, Nancy Green. Emerging applications of Natural Language Generation in Information Visualization, Education, and Health-Care. The Handbook of Natural Language Processing (Second Edition). Nitin Indurkhya, Frederic Damerau (Eds.), CRC Press, Taylor and Francis Group. Pp. 557-575. 2010.

Lin Chen and Barbara Di Eugenio. A Lucene and Maximum Entropy Model Based Hedge Detection System. CoNLL 2010 : Shared Task, Fourteenth Conference on Computational Natural Language Learning, Uppsala, Sweden. July 2010.

Swati Tata and Barbara Di Eugenio. Generating fine-grained reviews of songs from album reviews. ACL 2010, The 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden. July 2010.

Cynthia Kersey, Barbara Di Eugenio, Pamela Jordan, Sandra Katz. KSC-PaL: A Peer Learning Agent. ITS 2010, The Tenth International Conference on Intelligent Tutoring Systems, Pittsburgh, Pennsylvania, USA. June 2010. Pittsburgh, PA

Davide Fossati, Barbara Di Eugenio, Stellan Ohlsson, Christopher Brown and Lin Chen. Generating proactive feedback to help students stay on track. ITS 2010, The Tenth International Conference on Intelligent Tutoring Systems, Pittsburgh, Pennsylvania, USA. June 2010. Pittsburgh, PA (poster)

Alberto Tretti, Barbara Di Eugenio. Analysis and presentation of results for mobile local search. LREC 2010, The seventh international conference on Language Resources and Evaluation. Valletta, Malta. May 2010.

Joel Booth, Barbara Di Eugenio, Isabel Cruz, Ouri Wolfson. Query Sentences as Semantic (Sub) Networks. The 3rd IEEE International Conference on Semantic Computing (ICSC). Berkeley, CA, USA. September, 2009.

Davide Fossati, Barbara Di Eugenio, Stellan Ohlsson, Christopher Brown, Lin Chen, and David Cosejo. I learn from you, you learn from me: How to make iList learn from students . AIED 2009, The 14th International Conference on Artificial Intelligence in Education. Brighton, UK. July 2009.

Cynthia Kersey, Barbara Di Eugenio, Pamela Jordan, and Sandra Katz. Knowledge Co-construction and Initiative in Peer Learning Interactions . AIED 2009, The 14th International Conference on Artificial Intelligence in Education. Brighton, UK. July 2009.

Barbara Di Eugenio, Davide Fossati, Stellan Ohlsson, and David Cosejo. Towards explaining effective tutorial dialogues . CogSci 2009, The Annual Meeting of the Cognitive Science Society. Amsterdam, The Netherlands. July 2009.

Rajen Subba and Barbara Di Eugenio. An effective Discourse Parser that uses Rich Linguistic Information. NAACL-HLT 2009. The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Boulder, Co. June 2009.

Cynthia Kersey, Barbara Di Eugenio, Pamela Jordan, and Sandra Katz. KSC-PaL: A Peer Learning Agent that Encourages Students to take the Initiative . NAACL-HLT 2009 Workshops, The 4th Workshop on Innovative Use of NLP for Building Educational Applications. Boulder, Co. June 2009.

Davide Fossati, Barbara Di Eugenio, Christopher Brown, Stellan Ohlsson, David Cosejo, and Lin Chen. Supporting Computer Science curriculum: Exploring and learning linked lists with iList . IEEE Transactions on Learning Technologies, Special Issue on Real-World Applications of Intelligent Tutoring Systems, vol. 2 no. 2, pp. 107-120. April-June 2009.

Joel Booth, Prasad Sistla, Ouri Wolfson, Isabel F. Cruz. A Data Model for Trip Planning in Multimodal Transportation Systems. The 12th International Conference on Extending Database Technology (EDBT). Saint Petersburg, Russia. March, 2009.

Barbara Di Eugenio, Davide Fossati, Susan Haller, Dan Yu, and Michael Glass. Be brief, and they shall learn: Generating Concise Language Feedback for a Computer Tutor. International Journal of AI in Education, 18(4). 2008.

Davide Fossati, Barbara Di Eugenio, Christopher Brown, and Stellan Ohlsson. Learning Linked Lists: Experiments with the iList System . ITS 2008, The 9th International Conference on Intelligent Tutoring Systems. LNCS 5091, pp. 80-89. Montreal, Canada. 2008. Nominated for best paper award.

Cynthia Kersey, Barbara Di Eugenio, Pamela Jordan, and Sandra Katz. Modeling Knowledge Co-Construction for Peer Learning Interactions. ITS 2008, The 9th International Conference on Intelligent Tutoring Systems, Student Research Workshop. Montreal, Canada. 2008.

Joel Booth, Barbara Di Eugenio, Isabel Cruz, Ouri Wolfson. Understanding Ambiguous Language in Context-Aware Mobile Querying. The Mobile Language Processing Workshop at The 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT). Columbus, OH. 2008.

Davide Fossati. The role of positive feedback in Intelligent Tutoring Systems . ACL 2008, The 46th Annual Meeting of the Association for Computational Linguistics, Student Research Workshop. Columbus, OH. 2008.

Cynthia Kersey. Impact of Initiative on Collaborative Problem Solving. ACL 2008, The 46th Annual Meeting of the Association for Computational Linguistics, Student Research Workshop. Columbus, OH. 2008.

Xin Lu, Barbara Di Eugenio, Stellan Ohlsson, and Davide Fossati. Simple but effective feedback generation to tutor abstract problem solving . INLG 2008, 5th International Natural Language Generation Conference. Salt Fork, Ohio. 2008.

Davide Fossati and Barbara Di Eugenio. I saw TREE trees in the park: How to correct real-word spelling mistakes . LREC 2008, The sixth international conference on Language Resources and Evaluation. Marrakech, Morocco. May 2008.

Zhuli Xie, Barbara Di Eugenio, and Peter C. Nelson. From Extracting to Abstracting: Generating Quasi-abstractive Summaries . LREC 2008, The sixth International Conference on Language Resources and Evaluation, Marrakech, Morocco. May 2008.

Stellan Ohlsson, Barbara Di Eugenio, Bettina Chow, Davide Fossati, Xin Lu, and Trina C. Kershaw. Beyond the code-and-count analysis of tutoring dialogues . The 13th International Conference on Artificial Intelligence in Education. Marina Del Rey, CA. 2007.

Xin Lu, Barbara Di Eugenio, and Stellan Ohlsson. Learning Tutorial Rules using Classification Based on Associations . The 13th International Conference on Artificial Intelligence in Education. Marina Del Rey, CA. 2007 (Poster).

Rajen Subba and Barbara Di Eugenio. Automatic Discourse Segmentation Using Neural Networks . DECALOG – The 2007 Workshop on the Semantics and Pragmatics of Dialogue, Trento, Italy. May- 2007 (Poster).

Cynthia Kersey, Barbara Di Eugenio, Pamela Jordan, and Sandra Katz. Collaboration in Peer Learning Dialogues . Decalog: The 2007 Workshop on the Semantics and Pragmatics of Dialogue, Trento, Italy, May 2007 (Poster).

Rajen Subba. Exploiting Event Semantics to Parse the Rhetorical Structure of Natural Language Text . NAACL 2007, Proceedings of the Doctoral Consortium, the North American chapter for the Association for Computational Linguistics, Rochester, USA. April 2007.

X. Lu, B. Di Eugenio, T. C. Kershaw, S. Ohlsson, A. Corrigan-Halpern. Expert vs. Non-expert Tutoring: Dialogue Moves, Interaction Patterns and Multi-Utterance Turns . CICLing-2007, The Eighth International Conference on Intelligent Text Processing and Computational Linguistics, Mexico City, Mexico, February 2007. Best student paper award.

D. Fossati, B. Di Eugenio. A Mixed Trigrams Approach for Context Sensitive Spell Checking . CICLing-2007, The Eighth International Conference on Intelligent Text Processing and Computational Linguistics, Mexico City, Mexico, February 2007.

Massimo Poesio, Amrita Patel and Barbara Di Eugenio. Discourse Structure and Anaphora in Tutorial Discourse: an Empirical Analysis of two Theories of the Global Focus. Research in Language and Computation, Vol 4(2-3): 229-257, 2006

Xin Lu. Expert Tutoring and Natural Language Feedback in Intelligent Tutoring Systems . Doctoral Student Consortium at the 14th International Conference on Computers in Education (ICCE2006), 2006, Beijing, China

Xin Lu, Barbara Di Eugenio, Trina Kershaw, Andrew Corrigan-Halpern and Stellan Ohlsson. Tutorial Dialogues: Expert vs. Non-Expert Tutors . The 3rd Midwest Computational Linguistics Colloquium, 2006, Urbana, Illinois

Barbara Di Eugenio, Trina Kershaw, Xin Lu, Andrew Corrigan-Halpern and Stellan Ohlsson. Toward a Computational Model of Expert Tutoring: A First Report .The 19th International FLAIRS Conference, 2006, Melbourne Beach, Florida

Rajen Subba, Barbara Di Eugenio, Elena Terenzi. Building Lexical Resources for PrincPar, a large coverage parser that generates principled semantic representations. LREC 2006, The fifth international conference on Language Resources and Evaluation, Genoa, Italy. May 2006.

Rajen Subba, Barbara Di Eugenio, Su Nam Kim. Learning FOL Rules based on Rich Verb Semantic Representations to automatically label Rhetorical Relations . EACL 2006, Workshop on Learning Structured Information in Natural Language Applications, The 11th conference of the European chapter of the Association for Computational Linguistics, Trento, Italy. April 2006.

Davide Fossati, Gabriele Ghidoni, Barbara Di Eugenio, Isabel Cruz, Huiyong Xiao, and Rajen Subba. The problem of ontology alignment on the web: a first report. EACL 2006, Workshop on Web As Corpus, The 11th conference of the European chapter of the Association for Computational Linguistics, Trento, Italy. April 2006. Here is the dataset used for the experiments reported in this paper.

B. Di Eugenio, D. Fossati, D. Yu, S. Haller, M. Glass.Natural Language Generation for Intelligent Tutoring Systems: a case study. AIED 2005, the 12th International Conference on Artificial Intelligence in Education, Amsterdam, The Netherlands, July 2005.Nominated for best paper award.

B. Di Eugenio, X. Lu, T. C. Kershaw, A. Corrigan-Halpern, S. Ohlsson.Positive and negative verbal feedback for Intelligent Tutoring Systems. AIED 2005, the 12th International Conference on Artificial Intelligence in Education, Amsterdam, The Netherlands, July 2005 (poster)

B. Di Eugenio, D. Fossati, D. Yu, S. Haller, M. Glass.Aggregation improves learning: experiments in Natural Language Generation for Intelligent Tutoring Systems. ACL05, 43rd Meeting of the Association for Computational Linguistics, Ann Arbor, MI, USA, June 2005

B. Di Eugenio, M. J. Trolio.Generating driving directions for intelligent vehicles interfaces. ECBS05, the 12th IEEE International Conference on the Engineering of Computer-Based Systems, Greenbelt, MD, USA, April 2005

Massimo Poesio, Rosemarie Stevenson, Barbara Di Eugenio and Janet Hitzeman.Centering: a parametric theory and its instantiations. Computational Linguistics 30(3), pp. 309-363.

Z. Xie, X. Li, B. Di Eugenio, P. C. Nelson, W. Xiao, T. M. Tirpak.Using Gene Expression Programming to Construct Sentence Ranking Functions for Text Summarization. COLING04, The 20th International Conference on Computational Linguistics, Geneva, Switzerland, August (project note).

Riccardo Serafin and Barbara Di Eugenio. FLSA:Extending Latent Semantic Analysis with features for dialogue act classification. ACL04, 42nd Annual Meeting of the Association for Computational Linguistics, Barcelona, Spain, July.

Barbara Di Eugenio and Michael Glass.The Kappa statistic: a second look. Computational Linguistics 30(1) (squib).

Riccardo Serafin, Barbara Di Eugenio and Michael Glass.Latent Semantic Analysis for dialogue act classification. HLT-NAACL03, 2003 Human Language Technology Conference, Edmonton, Canada, May (Short Paper) [.pdf] (Superseded by the ACL04 paper)

Elena Terenzi and Barbara Di Eugenio.Building lexical semantic representations for Natural Language instructions. HLT-NAACL03, 2003 Human Language Technology Conference}, Edmonton, Canada, May (Short Paper)

Susan Haller, Barbara Di Eugenio.Minimal Text Structuring to Improve the Generation of Feedback in Intelligent Tutoring Systems. FLAIRS 2003, the 16th International Florida AI Research Symposium, May

Barbara Di Eugenio, Susan Haller, Michael Glass.Development and evaluation in a small shop. AAAI Spring Symposium on Natural Language Generation in Spoken and Written Dialogue, Stanford, March 03.

Barbara Di Eugenio.Discourse Processing. Encyclopedia of Cognitive Science, L. Nadel editor, London: Nature Publishing Group, Vol. 1, 976–983.

Barbara Di Eugenio, Michael Glass, Michael J. Trolio.The DIAG experiments: Natural Language Generation for Intelligent Tutoring Systems. The Second International Natural Language Generation Conference, Harriman, NY, July.

Barbara Di Eugenio, Michael Glass, Michael J. Scott.The binomial cumulative distribution, or, is my system better than yours?LREC2002, the Third International Conference on Language Resources and Evaluation, Las Palmas, Spain, June.

Susan Haller, Barbara Di Eugenio and Michael J. Trolio.Generating Natural Language Aggregations Using a Propositional Representation of Sets. FLAIRS 2002, the 15th International Florida AI Research Symposium, Pensacola Beach, FL, May.

Michael Glass, Barbara Di Eugenio.MUP – The UIC Standoff Markup Tool. The Third SigDIAL Workshop on Discourse and Dialogue. Philadelphia, PA, July.

Barbara Di Eugenio.Natural Language Processing for Computer-supported Instruction. ACM Intelligence, 12(4):22-32, Winter.

Massimo Poesio, Barbara Di Eugenio.Discourse Structure and Anaphoric Accessibility. ESSLLI2001 Workshop on Information Structure, Discourse Structure and Discourse Semantics. Helsinki, Finland

Barbara Di Eugenio, Michael Glass, Michael J. Trolio and Susan Haller.Simple Natural Language Generation and Intelligent Tutoring Systems. Workshop on Tutorial Dialogue Systems, 10th International Conference on Artificial Intelligence and Education, San Antonio, TX, May.

Barbara Di Eugenio, Pamela W. Jordan, Richmond H. Thomason, Johanna D. Moore, The agreement process: an empirical investigation of human-human computer-mediated collaborative dialogues . International Journal of Human Computer Studies, 2000.

Barbara Di Eugenio, Lexical Semantics and Knowledge Representation in Multilingual Text Generation (by Manfred Stede), Computational Linguistics, Vol. 26(2), pp. 270-273, 2000.

Barbara Di Eugenio, On the usage of Kappa to evaluate agreement on coding tasks , LREC2000, the Second International Conference on Language Resources and Evaluation, Athens, Greece, 2000.

Barbara Di Eugenio, Michael J. Trolio, Can simple Natural Language Generation improve Intelligent Tutoring Systems , AAAI 2000 Fall Symposium on Building Dialogue Systems for Tutorial Applications, North Falmouth, MA, 2000.