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Publications

2023

  • 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).

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. 

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