Amin, N., & Rayz, J. (2024). Embodied Language Learning: Opportunities, Challenges, and Future Directions. Findings of the Association for Computational Linguistics ACL 2024, 15369-15379.
Barber, H., Reimer, T., Zhang, D., & Rayz, J. (2024). Is Alexa Happy or Angry? Perceptions and Attributions of Emotional Displays of Smart Technologies in Residential Homes. Sustainability, 16(7), 2721.
Ringenberg, T. R., Seigfried-Spellar, K. C., & Rayz, J. (2024). Are you a cop?: Identifying suspicion in online chat operations with online groomers. Child Abuse & Neglect, 154, 106919.
Bihani, G., & Rayz, J. T. (2024). Learning shortcuts: On the misleading promise of nlu in language models. arXiv preprint arXiv:2401.09615.
2023
Bihani, G., & Rayz, J. T. (2023, May). Calibration Error Estimation Using Fuzzy Binning. In North American Fuzzy Information Processing Society Annual Conference (pp. 91-100). Cham: Springer Nature Switzerland.
Hu, Y., Setpal, J., Zhang, D., Zietek, J., Lambert, J., Gonzalez, R. A., & Rayz, J. (2023) BoilerBot: A Reliable Task-oriented Chatbot Enhanced with Large Language Models. Alexa Prize TaskBot Challenge 2 Proceedings
Misra, K., Rayz, J., & Ettinger, A. (2023, May). COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (pp. 2920-2941).
Kim, H., Ham, S., Promann, M., Devarapalli, H., Kwarteng, V., Bihani, G., ... & Karava, P. (2023). MySmartE-A Cloud-Based Smart Home Energy Application for Energy-Aware Multi-unit Residential Buildings. ASHRAE Transactions, 129, 667-675.
2022
Misra, K., Rayz, J., & Ettinger, A. (2022). A Property Induction Framework for Neural Language Models. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, No. 44).
Bihani, G., & Rayz, J. T. (2022, May). On Information Hiding in Natural Language Systems. In The International FLAIRS Conference Proceedings (Vol. 35).
Zhang, D., & Rayz, J. (2022, May). Examining Stereotypes in News Articles. In The International FLAIRS Conference Proceedings (Vol. 35).
Misra, K. (2022). minicons: Enabling flexible behavioral and representational analyses of transformer language models. arXiv preprint arXiv:2203.13112.
Bihani, G. (2022, June). Interpretable Privacy Preservation of Text Representations Using Vector Steganography. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 11, pp. 12872-12873).
Misra, K. (2022, June). On semantic cognition, inductive generalization, and language models. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 11, pp. 12894-12895).
Hsiang, C. Y., & Rayz, J. T. (2022). Predicting popular contributors in innovation crowds: the case of My Starbucks Ideas. Information Technology & People, 35(2), 494-509.
2021
Misra, K., Ettinger, A., & Rayz, J. (2021). Do language models learn typicality judgments from text?. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 43, No. 43).
Bihani, G., & Rayz, J. (2021, June). Low Anisotropy Sense Retrofitting (LASeR): Towards Isotropic and Sense Enriched Representations. In Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures (pp. 81-95).
Yoo, B., & Rayz, J. T. (2021, April). Understanding emojis for sentiment analysis. In The International FLAIRS Conference Proceedings (Vol. 34).
Jing, X., Hu, Q., Zhang, Y., & Rayz, J. T. (2021, April). Tracing Topic Transitions with Temporal Graph Clusters. In The International FLAIRS Conference Proceedings (Vol. 34).
Hu, Y., & Rayz, J. (2021, April). A Study of Media Polarization with Stylometry Methods. In The International FLAIRS Conference Proceedings (Vol. 34).
Misra, K., & Rayz, J. T. (2022). Finding fuzziness in neural network models of language processing. In Explainable AI and Other Applications of Fuzzy Techniques: Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021 (pp. 278-290). Springer International Publishing.
Bihani, G., & Rayz, J. T. (2022). Fuzzy classification of multi-intent utterances. In Explainable AI and Other Applications of Fuzzy Techniques: Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021 (pp. 37-51). Springer International Publishing.
2020
Bihani, G., & Rayz, J. T. (2020, December). Model Choices Influence Attributive Word Associations: A Semi-supervised Analysis of Static Word Embeddings. In 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (pp. 568-573). IEEE.
Misra, K., Ettinger, A., & Rayz, J. (2020, November). Exploring BERT’s Sensitivity to Lexical Cues using Tests from Semantic Priming. In Findings of the Association for Computational Linguistics: EMNLP 2020 (pp. 4625-4635).
Hu, Q., Zhang, Y., Misra, K., & Rayz, J. T. (2020, September). Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference. In 2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC) (pp. 125-130). IEEE.
Hu, Y., Jing, X., Ko, Y., & Rayz, J. T. (2020, September). Misspelling correction with pre-trained contextual language model. In 2020 ieee 19th international conference on cognitive informatics & cognitive computing (icci* cc) (pp. 144-149). IEEE.
Agrawal, S., & Rayz, J. T. Joke Recommender System Using Humor Theory.
Park, G., Rayz, J. T., & Pouchard, L. (2020, May). Figure descriptive text extraction using ontological representation. In The Thirty-Third International Flairs Conference.
Rayz, J. T. (2020). Scripts in the ontological semantic theory of humor. Script-Based Semantics: Foundations and Applications. Essays in Honor of Victor Raskin, 229.
Rayz, J. T., Tazhibayeva, S., & Karava, P. (2020). Back to Classics: Controlling Smart Thermostats with Natural Language… with Personalization. Decision Making under Constraints, 181-187.
Misra, K., & Rayz, J. T. (2022). An Approximate Perspective on Word Prediction in Context: Ontological Semantics Meets BERT. In Fuzzy Information Processing 2020: Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020 (pp. 157-169). Springer International Publishing.
Ringenberg, T., Rayz, J. T., & Seigfried-Spellar, K. (2022). Using fuzzy sets to assess differences in online grooming conversations with victims, decoys, and law enforcement. In Fuzzy Information Processing 2020: Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020 (pp. 171-182). Springer International Publishing.
2019
Rayz, J. T. (2019). Oppositions, overlaps, and ontologies–a response to Elliott Oring. Humor, 32(4), 525-529.
Misra, K., Devarapalli, H., Ringenberg, T. R., & Rayz, J. T. (2019, October). Authorship analysis of online predatory conversations using character level convolution neural networks. In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 623-628). IEEE.
Ye, Q., Misra, K., Devarapalli, H., & Rayz, J. T. (2019, October). A sentiment based non-factoid question-answering framework. In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 372-377). IEEE.
Ringenberg, T. R., Misra, K., & Rayz, J. T. (2019, October). Not so cute but fuzzy: Estimating risk of sexual predation in online conversations. In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 2946-2951). IEEE.
Ringenberg, T., Misra, K., Seigfried-Spellar, K. C., & Rayz, J. T. (2019, February). Exploring automatic identification of fantasy-driven and contact-driven sexual solicitors. In 2019 Third IEEE International Conference on Robotic Computing (IRC) (pp. 532-537). IEEE.
Misra, K., Devarapalli, H., & Rayz, J. T. Measuring the Influence of L1 on Learner English Errors in Content Words within Word Embedding Models.
Misra, K., Devarapalli, H., & Rayz, J. (2019). L1 Influence on Content Word errors in Learner English Corpora: Insights from Distributed Representation of Words. In CogSci (p. 3318).
Seigfried-Spellar, K. C., Rogers, M. K., Rayz, J. T., Yang, S. F., Misra, K., & Ringenberg, T. (2019). Chat Analysis Triage Tool: Differentiating contact-driven vs. fantasy-driven child sex offenders. Forensic science international, 297, e8-e10.
Taylor Rayz, J., & Raskin, V. (2019). Fuzziness and Humor: Aspects of Interaction and Computation. In Fuzzy Techniques: Theory and Applications: Proceedings of the 2019 Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019 (Lafayette, Louisiana, USA, June 18–21, 2019) (pp. 655-666). Springer International Publishing.
2018
Park, G., & Rayz, J. (2018, October). Ontological detection of phishing emails. In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 2858-2863). IEEE.
Jing, X., Talekar, C., & Taylor Rayz, J. (2018). Comparing Jokes with NLP: How Far Can Joke Vectors Take Us?. In Distributed, Ambient and Pervasive Interactions: Technologies and Contexts: 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15–20, 2018, Proceedings, Part II 6 (pp. 310-326). Springer International Publishing.
Yang, S. F., & Rayz, J. T. (2018). An event detection approach based on twitter hashtags. arXiv preprint arXiv:1804.11243.
Wang, Y., Raskin, V., Rayz, J., Baciu, G., Ayesh, A., Mizoguchi, F., ... & Howard, N. (2018). Cognitive Computing: Methodologies for Neural Computing and Semantic Computing in Brain-Inspired Systems. International Journal of Software Science and Computational Intelligence (IJSSCI), 10(1), 1-14.
2017
Rayz, J. T. (2017). Computational humour and Christie Davies’ basis for joke comparison. The European Journal of Humour Research, 5(4), 169-178.
Rayz, J. T. (2017). Ontological semantic theory of humor in a context of humorous discourse. Humorous Discourse, 11, 205.
Wang, P., & Rayz, J. T. (2017, July). Extracting aspects of online reviews: What can we make of text similarity?. In 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC) (pp. 227-232). IEEE.
Rayz, J. T., Rayz, V. L., & Raskin, V. (2017, July). Cognitive imaging: Using knowledge representation for reliable segmentation of MR angiography data. In 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC) (pp. 37-42). IEEE. (best paper award)
Shin, S., Min, B. C., Rayz, J., & Matson, E. T. (2017, April). Semantic knowledge-based language education device for children with developmental disabilities. In 2017 First IEEE International Conference on Robotic Computing (IRC) (pp. 340-345). IEEE.
Rayz, J. T. (2017, January). In pursuit of human-friendly interaction with a computational system: Computational humor. In 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) (pp. 000015-000020). IEEE.
Yang, S.F, Rayz, J. T. (2017) An Event Detection Approach Based On Twitter Hashtags, CICLing 2017
Taylor, J. M. (2017). Computational treatments of humor. In The Routledge Handbook of Language and Humor (pp. 456-471). Routledge.
2016
Taylor, J. M., & Raskin, V. (2016, October). Conceptual defaults in fuzzy ontology. In 2016 annual conference of the north american fuzzy information processing society (nafips) (pp. 1-6). IEEE.
Hinh, R., Shin, S., & Taylor, J. (2016, October). Using frame semantics in authorship attribution. In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 004093-004098). IEEE.
Taylor, J. M., Raskin, V., & Hickman, L. C. (2016, October). Accessing implicit meaning: Towards computational ability to reconstruct textual omissions. In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 004154-004159). IEEE.
Rayz, J. T., & Raskin, V. (2016, August). Logic of natural language: Through the eyes of ontological semantics. In 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC) (pp. 511-515). IEEE.
Taylor, J. M., & Rayz, V. L. (2016). Towards Simulation of Semantic Generation and Detection of Humorous Response. In Distributed, Ambient and Pervasive Interactions: 4th International Conference, DAPI 2016, Held as Part of HCI International 2016, Toronto, ON, Canada, July 17-22, 2016, Proceedings 4 (pp. 362-369). Springer International Publishing.
Hickman, L., Taylor, J. M., & Raskin, V. (2016, March). Direct Object Omission as a Sign of Conceptual Defaultness. In FLAIRS Conference (pp. 516-521). (best student paper nominee)
Rayz, J. T. (2016). Dissecting the frog: What Can We Learn From Computers (Not) Understanding Humor.
Raskin, V., & Rayz, J. T. (2016). Towards a Semantic Theory of Robotic Non-Cooperation. Procedia Computer Science, 94, 392-397.
Park, G, Rayz, J. T. & Shields, C. (2016) Towards the Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication. SDPS 2016 (invited, peer-reviewed)
Hinh, R. & Rayz, J. T. (2016) Tool Comparison of Semantic Parsers. SDPS 2016 (invited, peer-reviewed)
2015
Taylor, J. M. (2015) Mapping Human Understanding to Robotic Perception. 2015 International Workshop on Communication for Humans, Agents, Robots, Machines and Sensors.
Ringenberg, T. R., GStuart, L. M., Taylor, J. M., & Raskin, V. (2015) Towards Computer Understanding of Direct Object Defaults. IEEE-SMC Conference 2015.
Park, G., & Taylor, J. M. (2015) Using Syntactic Features for Phishing Detection. International Conference on Cyber Security 2015(best paper award)
Hickman, L., Taylor, J. M., & Raskin, V. (2015) Fuzzy Lexical Acquisition of Adjectives. Annual Conference of North American Fuzzy Information Processing Society.
Ringenberg, T. R., Taylor, J. M., Springer, J. A., & Raskin, V. (2015) Towards Identifying Ontological Semantic Defaults with Big Data: Preliminary Results. The Seventh International Conference on Advanced Cognitive Technologies and Applications.
Taylor, J. M., & Raskin, V. (2015) Comparing Apples and Orange Cottages: Classifications and Properties. The Seventh International Conference on Advanced Cognitive Technologies and Applications.
Taylor, J. M. (2015) Different knowledge, same joke: Response-based computational detection of humor. 17th International Conference on Human-Computer Interaction. (invited, 2 page abstract peer-reviewed, full paper published; reprinted as a book chapter)
Raskin, V., & Taylor, J. M. (2015). Comprehensive Semantics in Robotic Intelligence and Communication: Necessity and Feasibility. 2015 6th International Conference on Automation, Robotics and Applications (ICARA).
2014
Park, G., Stuart, L. M., Taylor, J. M., & Raskin, V. (2014). Comparing Machine and Human Ability to Detect Phishing Emails. 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 2322 - 2327).
Ringenberg, T. R., & Taylor, J. M. (2014). Semantic anonymization of medical records. 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 1450-1455).
Taylor, J. M., & Raskin, V. (2014). Towards a formal theory of social roles in cognitive computing and cognitive informatics. 2014 IEEE 13th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) (pp. 38-43). (best paper award)
Hong, J. H., Taylor, J. M., & Matson, E. T. (2014). Natural Multi-language Interaction between Firefighters and Fire Fighting Robots. 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)(vol. 3, pp. 183-189).
Taylor, J. M., & Raskin, V. (2014). On the Nature of Composable Properties. Cognitive Computing for Augmented Human Intelligence Workshop at the Twenty-Eighth AAAI Conference on Artificial Intelligence.
Stuart, L. M., Park, G., Taylor, J. M., & Raskin, V. (2014). On Identifying Phishing Emails: Uncertainty in Machine and Human Judgment. Proceedings of NAFIPS 2014 (abstract peer-reviewed, full paper published)
Raskin, V., & Taylor, J. M. (2014). Fuzziness, Vagueness, Uncertainty, and Probability in Natural Language. Proceedings of NAFIPS 2014 (abstract peer-reviewed, full paper published)
2013
Hong, J. H., Matson, E. T., & Taylor, J. M. (2013). Design of Knowledge-based Communication between Human and Robot Using Ontological Semantic Technology in Firefighting Domain. Proceedings of RiTA 2013, Denver, Colorado. (reprinted as a book chapter)
Graci, A., Stuart, L. M., Taylor, J. M., & Raskin, V. (2013). Towards novelty detection with Ontological Semantic Technology. Proceedings of SDPS conference, Sao Paolo, Brazil.
Park, G., & Taylor, J. M. (2013). Towards text-based phishing detection, Proceedings of SDPS conference, Sao Paolo, Brazil.
Stuart, L.M., Taylor, J. M., & Raskin, V. (2013). Complexity evaluation of noun-driven syntax representation. Proceedings of SDPS conference, Sao Paolo, Brazil
Stuart, L. M., Tazhibayeva, S., Wagoner, A.R., & Taylor, J. M. (2013). On Identifying Authors with Style. Proceedings of IEEE-SMC Conference, Manchester, UK.
Stuart, L. M., Tazhibayeva, S., Wagoner, A.R., & Taylor, J. M. (2013). Style Features for Authors in Two Languages. Proceedings of Web Intelligence Conference, Atlanta, USA.
Taylor, J. M., & Raskin, V. (2013). Natural Language Cognition of Humor by Humans and Computers: A Computational Semantic Approach. IEEE International Conference on Cognitive Informatics & Cognitive Computing, NY, NY.
Raskin, V., Stuart, L. M, & Taylor, J. M. (2013). Is Natural Language Ever Really Vague? A Computational Semantic View. IEEE International Conference on Cybernetics, Lausanne, Switzerland.
Stuart, L. M, Taylor, J.M., & Raskin, V. (2013). The Importance of Nouns in Text Processing, Cognitive Science Conference, Berlin, Germany.
Stuart, L. M, Taylor, J. M., & Raskin, V. (2013). Computing with Prepositions: Syntax. North American Fuzzy Information Processing Society Conference, Edmonton, Canada.
Raskin, V., Taylor, J. M., & Stuart, L. M. (2013). Computing with Prepositions: Semantics. North American Fuzzy Information Processing Society Conference, Edmonton, Canada
Dogan, R.I, Gil, Y., Hirsh, H., Krishnan, N.C., Lewis, M., Mericli, C., Rashidi, P., Raskin, V., Swarup, S., Sun, W., Taylor, J.M., & Yeganova, L. (2013). Reports on the 2012 AAAI Fall Symposium Series, AI Magazine, 34:1
Taylor, J.M. (2013). The Importance of Grain Size in Communication Within Cyber-Physical Systems. In Suh, S., C., Tanik, U.J., Carbone, J.N., & Eroglu, A. (Eds.), Applied Cyber-Physical Systems, Springer
Raskin, V. & Taylor, J.M. (2013). A Fresh Look at Semantic Natural Language Information Assurance and Security: NL-IAS From Watermarking and Downgrading to Discovering Unintended Inferences and on to Situational Conceptual Defaults. In Akhgar, B. & Arabnia, H. R., (Eds.) Emerging Trends in Information and Communication Technologies Security, Amsterdam: Elsevier (Morgan Kaufmann)
Taylor, J. M. (2013). Understanding and Processing Information of Various Grain Sizes. In Kim, J.-H., Matson, E.T., Myung, H., & Xu, P. (Eds.) Robot Intelligence Technology and Applications 2012: Advances in Intelligent Systems and Computing (vol. 208, pp. 901-910). Springer
Taylor, J. M., & Raskin, V. (2013). Towards the Cognitive Informatics of Natural Language: The Case of Computational Humor. International Journal of Cognitive Informatics and Natural Intelligence, 7:3
Raskin, V., Taylor, J. M., & Hempelmann, C.F. (2013). Meaning- and Ontology-Based Technologies for High-Precision Language- and Information-Processing Computational Systems, Advanced Engineering Informatics, 27, 4-12.
