Logic of natural language: Through the eyes of ontological semantics. - Julia Taylor Rayz; Victor Raskin (ICCI*CC, 2016)

Towards a Semantic Theory of Robotic Non-cooperation. - Victor Raskin; Julia Taylor Rayz (FNC/MobiSPC, 2016)

Cognitive imaging: Using knowledge representation for reliable segmentation of MR angiography data. - Julia Taylor Rayz; Vitaliy L. Rayz; Victor Raskin (IEEE ICCI*CC, 2017)

Extracting aspects of online reviews: What can we make of text similarity? - Penghao Wang; Julia Taylor Rayz (IEEE ICCI*CC, 2017)

Semantic Knowledge-Based Language Education Device for Children with Developmental Disabilities. - Sangmi Shin; Byung-Cheol Min; Julia Rayz; Eric T. Matson (IRC, 2017)

Comparing Jokes with NLP: How Far Can Joke Vectors Take Us? - Xiaonan Jing; Chinmay Talekar; Julia Taylor Rayz (HCI (22), 2018)

Ontological Detection of Phishing Emails. - Gilchan Park; Julia Rayz (SMC, 2018)

An Event Detection Approach Based On Twitter Hashtags. - Shih-Feng Yang; Julia Taylor Rayz (CoRR, 2018)

Cognitive Imaging: Using Knowledge Representation for Segmentation of MRA Data. - Vitaliy L. Rayz; David Saloner; Julia M. Rayz; Victor Raskin (Int. J. Cogn. Informatics Nat. Intell., 2018)

Discovering Attribute-Specific Features From Online Reviews: What Is the Gap Between Automated Tools and Human Cognition? - Xiaonan Jing; Penghao Wang; Julia M. Rayz (Int. J. Softw. Sci. Comput. Intell., 2018)

Cognitive Computing: Methodologies for Neural Computing and Semantic Computing in Brain-Inspired Systems. - Yingxu Wang 001; Victor Raskin; Julia Rayz; George Baciu; Aladdin Ayesh; Fumio Mizoguchi; Shusaku Tsumoto; Dilip Patel; Newton Howard (Int. J. Softw. Sci. Comput. Intell., 2018)

L1 Influence on Content Word errors in Learner English Corpora: Insights from Distributed Representation of Words. - Kanishka Misra; Hemanth Devarapalli; Julia Rayz (CogSci, 2019)

Fuzziness and Humor: Aspects of Interaction and Computation. - Julia Taylor Rayz; Victor Raskin (IFSA/NAFIPS, 2019)

Exploring Automatic Identification of Fantasy-Driven and Contact-Driven Sexual Solicitors. - Tatiana R. Ringenberg; Kanishka Misra; Kathryn C. Seigfried-Spellar; Julia Taylor Rayz (IRC, 2019)

Authorship Analysis of Online Predatory Conversations using Character Level Convolution Neural Networks. - Kanishka Misra; Hemanth Devarapalli; Tatiana R. Ringenberg; Julia Taylor Rayz (SMC, 2019)

Not So Cute but Fuzzy: Estimating Risk of Sexual Predation in Online Conversations. - Tatiana R. Ringenberg; Kanishka Misra; Julia Taylor Rayz (SMC, 2019)

A Sentiment Based Non-Factoid Question-Answering Framework. - Qiaofei Ye; Kanishka Misra; Hemanth Devarapalli; Julia Taylor Rayz (SMC, 2019)

Back to Classics: Controlling Smart Thermostats with Natural Language... with Personalization. - Julia Taylor Rayz; Saltanat Tazhibayeva; Panagiota Karava (Decision Making under Constraints, 2020)

Misspelling Correction with Pre-trained Contextual Language Model. - Yifei Hu; Xiaonan Jing; Youlim Ko; Julia Taylor Rayz (IEEE ICCI*CC, 2020)

Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference. - Qingyuan Hu; Yi Zhang 135; Kanishka Misra; Julia Taylor Rayz (IEEE ICCI*CC, 2020)

Exploring Lexical Relations in BERT using Semantic Priming. - Kanishka Misra; Allyson Ettinger; Julia Rayz (CogSci, 2020)

Exploring BERT's sensitivity to lexical cues using tests from semantic priming. - Kanishka Misra; Allyson Ettinger; Julia Rayz (EMNLP (Findings), 2020)

Figure Descriptive Text Extraction Using Ontological Representation. - Gilchan Park; Julia Taylor Rayz; Line Pouchard (FLAIRS, 2020)

An Approximate Perspective on Word Prediction in Context: Ontological Semantics Meets BERT. - Kanishka Misra; Julia Taylor Rayz (NAFIPS, 2020)

Using Fuzzy Sets to Assess Differences in Online Grooming Conversations with Victims, Decoys, and Law Enforcement. - Tatiana R. Ringenberg; Julia Taylor Rayz; Kathryn C. Seigfried-Spellar (NAFIPS, 2020)

Model Choices Influence Attributive Word Associations: A Semi-supervised Analysis of Static Word Embeddings. - Geetanjali Bihani; Julia Taylor Rayz (WI/IAT, 2020)

Graph-of-Tweets: A Graph Merging Approach to Sub-event Identification. - Xiaonan Jing; Julia Taylor Rayz (WI/IAT, 2020)

Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations. - Geetanjali Bihani; Julia Rayz (DeeLIO@NAACL-HLT, 2021)

Implications of Using Internet Sting Corpora to Approximate Underage Victims. - Tatiana R. Ringenberg; Kathryn C. Seigfried-Spellar; Julia Rayz (ACL/IJCNLP (Findings), 2021)

Do language models learn typicality judgments from text? - Kanishka Misra; Allyson Ettinger; Julia Rayz (CogSci, 2021)

A study of Media Polarization with Stylometry Methods. - Yifei Hu; Julia Rayz (FLAIRS, 2021)

Tracing Topic Transitions with Temporal Graph Clusters. - Xiaonan Jing; Qingyuan Hu; Yi Zhang 135; Julia Taylor Rayz (FLAIRS, 2021)

Understanding Emojis for Sentiment Analysis. - Byung Kyu Yoo; Julia Taylor Rayz (FLAIRS, 2021)

Fuzzy Classification of Multi-intent Utterances. - Geetanjali Bihani; Julia Taylor Rayz (NAFIPS, 2021)

Modeling Fuzzy Cluster Transitions for Topic Tracing. - Xiaonan Jing; Yi Zhang 135; Qingyuan Hu; Julia Taylor Rayz (NAFIPS, 2021)

Finding Fuzziness in Neural Network Models of Language Processing. - Kanishka Misra; Julia Taylor Rayz (NAFIPS, 2021)

Uncertainty to Avoid Entrapment: Comparing Internet Stings to Real Victim Conversations. - Tatiana R. Ringenberg; Kathryn C. Seigfried-Spellar; Julia Taylor Rayz (NAFIPS, 2021)

Towards The Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication. - Gilchan Park; Julia Taylor Rayz; Cleveland G. Shields (CoRR, 2021)

Recent Advances in Cognitive Informatics and Cognitive Computing towards Autonomous Systems (Plenary Panel Report-II of IEEE ICCI*CC'22). - Witold Kinsner; Okyay Kaynak; Haibin Zhu 001; Ming Hou 002; Julia Rayz; Marina L. Gavrilova; Guoyin Wang 001; George Baciu; Jun Peng; Christine W. Chan; Runhe Huang; Bowen Du 001 (ICCI*CC, 2022)

Can Visual Linguistic Models become Knowledge Bases: A Prompt Learning Framework for Size Perception. - Yi Zhang 135; Julia Taylor Rayz (ICCI*CC, 2022)

A Property Induction Framework for Neural Language Models. - Kanishka Misra; Julia Rayz; Allyson Ettinger (CogSci, 2022)

On Information Hiding in Natural Language Systems. - Geetanjali Bihani; Julia Taylor Rayz (FLAIRS, 2022)

Examining Stereotypes in News Articles. - Damin Zhang; Julia Taylor Rayz (FLAIRS, 2022)

LMs go Phishing: Adapting Pre-trained Language Models to Detect Phishing Emails. - Kanishka Misra; Julia Taylor Rayz (WI/IAT, 2022)

COMPS: Conceptual Minimal Pair Sentences for testing Property Knowledge and Inheritance in Pre-trained Language Models. - Kanishka Misra; Julia Taylor Rayz; Allyson Ettinger (CoRR, 2022)

Predicting popular contributors in innovation crowds: the case of My Starbucks Ideas. - Chien-yi Hsiang; Julia Taylor Rayz (Inf. Technol. People, 2022)

Seeing the Past, Planning the Future: Proudly Celebrating 25 Years of Assisting the Convergence of Process Sciences and Design Science. - Imre Horváth; Thomas T. H. Wan; Jingwei Huang 002; Eric Coatanéa; Julia M. Rayz; Yong Zeng 004; Kyoung-Yun Kim (J. Integr. Des. Process. Sci., 2022)

COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models. - Kanishka Misra; Julia Rayz; Allyson Ettinger (EACL, 2023)

Calibration Error Estimation Using Fuzzy Binning. - Geetanjali Bihani; Julia Taylor Rayz (NAFIPS, 2023)

Prompt-assisted Relation Fusion in Knowledge Graph Acquisition. - Xiaonan Jing; Julia M. Rayz (SMC, 2023)

Hybrid Algorithm Selection and Hyperparameter Tuning on Distributed Machine Learning Resources: A Hierarchical Agent-based Approach. - Ahmad Esmaeili; Julia Taylor Rayz; Eric T. Matson (CoRR, 2023)

Embodied Language Learning: Opportunities, Challenges, and Future Directions. - Nadine Amin; Julia Rayz (ACL (Findings), 2024)

Learning Shortcuts: On the Misleading Promise of NLU in Language Models. - Geetanjali Bihani; Julia Taylor Rayz (CoRR, 2024)

The Reliability Paradox: Exploring How Shortcut Learning Undermines Language Model Calibration. - Geetanjali Bihani; Julia Rayz (CoRR, 2024)

Hybrid Algorithm Selection and Hyperparameter Tuning on Distribute Machine Learning Resources: Hierarchical Agent-based Approach. - Ahmad Esmaeili; Julia Rayz; Eric Matson (ACM Trans. Internet Techn., 2024)

Assessing differences in grooming stages and strategies in decoy, victim, and law enforcement conversations. - Tatiana R. Ringenberg; Kathryn C. Seigfried-Spellar; Julia Rayz (Comput. Hum. Behav., 2024)

Proceedings of the 1st Workshop on Computational Humor (CHum). - Christian F. Hempelmann; Julia Rayz; Tiansi Dong; Tristan Miller (COLING Workshops, 2025)

Hire Me or Not? Examining Language Model's Behavior with Occupation Attributes. - Damin Zhang; Yi Zhang 135; Geetanjali Bihani; Julia Rayz (COLING, 2025)

Evaluating Language Models on Grooming Risk Estimation Using Fuzzy Theory. - Geetanjali Bihani; Tatiana R. Ringenberg; Julia Rayz (CoRR, 2025)

A Fuzzy Evaluation of Sentence Encoders on Grooming Risk Classification. - Geetanjali Bihani; Julia Rayz (CoRR, 2025)