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Julia Taylor Rayz
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2020 – today
- 2024
- [j6]Tatiana R. Ringenberg, Kathryn C. Seigfried-Spellar, Julia Rayz:
Assessing differences in grooming stages and strategies in decoy, victim, and law enforcement conversations. Comput. Hum. Behav. 152: 108071 (2024) - [c42]Nadine Amin, Julia Rayz:
Embodied Language Learning: Opportunities, Challenges, and Future Directions. ACL (Findings) 2024: 15369-15379 - [i21]Geetanjali Bihani, Julia Taylor Rayz:
Learning Shortcuts: On the Misleading Promise of NLU in Language Models. CoRR abs/2401.09615 (2024) - [i20]Damin Zhang, Yi Zhang, Geetanjali Bihani, Julia Rayz:
Hire Me or Not? Examining Language Model's Behavior with Occupation Attributes. CoRR abs/2405.06687 (2024) - 2023
- [c41]Kanishka Misra, Julia Rayz, Allyson Ettinger:
COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models. EACL 2023: 2920-2941 - [c40]Geetanjali Bihani, Julia Taylor Rayz:
Calibration Error Estimation Using Fuzzy Binning. NAFIPS 2023: 91-100 - [c39]Xiaonan Jing, Julia M. Rayz:
Prompt-assisted Relation Fusion in Knowledge Graph Acquisition. SMC 2023: 2960-2965 - [i19]Geetanjali Bihani, Julia Taylor Rayz:
Calibration Error Estimation Using Fuzzy Binning. CoRR abs/2305.00543 (2023) - [i18]Ahmad Esmaeili, Julia Taylor Rayz, Eric T. Matson:
Hybrid Algorithm Selection and Hyperparameter Tuning on Distributed Machine Learning Resources: A Hierarchical Agent-based Approach. CoRR abs/2309.06604 (2023) - 2022
- [j5]Chien-yi Hsiang, Julia Taylor Rayz:
Predicting popular contributors in innovation crowds: the case of My Starbucks Ideas. Inf. Technol. People 35(2): 494-509 (2022) - [j4]Imre Horváth, Thomas T. H. Wan, Jingwei Huang, Eric Coatanéa, Julia M. Rayz, Yong Zeng, Kyoung-Yun Kim:
Seeing the Past, Planning the Future: Proudly Celebrating 25 Years of Assisting the Convergence of Process Sciences and Design Science. J. Integr. Des. Process. Sci. 26(3-4): 197-221 (2022) - [c38]Yi Zhang, Julia Taylor Rayz:
Can Visual Linguistic Models become Knowledge Bases: A Prompt Learning Framework for Size Perception. ICCI*CC 2022: 56-63 - [c37]Witold Kinsner, Okyay Kaynak, Haibin Zhu, Ming Hou, Julia Rayz, Marina L. Gavrilova, Guoyin Wang, George Baciu, Jun Peng, Christine W. Chan, Runhe Huang, Bowen Du:
Recent Advances in Cognitive Informatics and Cognitive Computing towards Autonomous Systems (Plenary Panel Report-II of IEEE ICCI*CC'22). ICCI*CC 2022: 268-280 - [c36]Kanishka Misra, Julia Rayz, Allyson Ettinger:
A Property Induction Framework for Neural Language Models. CogSci 2022 - [c35]Geetanjali Bihani, Julia Taylor Rayz:
On Information Hiding in Natural Language Systems. FLAIRS 2022 - [c34]Damin Zhang, Julia Taylor Rayz:
Examining Stereotypes in News Articles. FLAIRS 2022 - [c33]Kanishka Misra, Julia Taylor Rayz:
LMs go Phishing: Adapting Pre-trained Language Models to Detect Phishing Emails. WI/IAT 2022: 135-142 - [e1]Julia Rayz, Victor Raskin, Scott Dick, Vladik Kreinovich:
Explainable AI and Other Applications of Fuzzy Techniques - Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021, Virtual Event / West Lafayette, IN, USA, June 7-9, 2021. Lecture Notes in Networks and Systems 258, Springer 2022, ISBN 978-3-030-82098-5 [contents] - [i17]Geetanjali Bihani, Julia Taylor Rayz:
On Information Hiding in Natural Language Systems. CoRR abs/2203.06512 (2022) - [i16]Kanishka Misra, Julia Taylor Rayz, Allyson Ettinger:
A Property Induction Framework for Neural Language Models. CoRR abs/2205.06910 (2022) - [i15]Gilchan Park, Julia Rayz, Line Pouchard:
Figure Descriptive Text Extraction using Ontological Representation. CoRR abs/2208.06040 (2022) - [i14]Kanishka Misra, Julia Taylor Rayz, Allyson Ettinger:
COMPS: Conceptual Minimal Pair Sentences for testing Property Knowledge and Inheritance in Pre-trained Language Models. CoRR abs/2210.01963 (2022) - 2021
- [c32]Tatiana R. Ringenberg, Kathryn C. Seigfried-Spellar, Julia Rayz:
Implications of Using Internet Sting Corpora to Approximate Underage Victims. ACL/IJCNLP (Findings) 2021: 3645-3656 - [c31]Geetanjali Bihani, Julia Rayz:
Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations. DeeLIO@NAACL-HLT 2021: 81-95 - [c30]Kanishka Misra, Allyson Ettinger, Julia Rayz:
Do language models learn typicality judgments from text? CogSci 2021 - [c29]Yifei Hu, Julia Rayz:
A study of Media Polarization with Stylometry Methods. FLAIRS 2021 - [c28]Xiaonan Jing, Qingyuan Hu, Yi Zhang, Julia Taylor Rayz:
Tracing Topic Transitions with Temporal Graph Clusters. FLAIRS 2021 - [c27]Byung Kyu Yoo, Julia Taylor Rayz:
Understanding Emojis for Sentiment Analysis. FLAIRS 2021 - [c26]Geetanjali Bihani, Julia Taylor Rayz:
Fuzzy Classification of Multi-intent Utterances. NAFIPS 2021: 37-51 - [c25]Xiaonan Jing, Yi Zhang, Qingyuan Hu, Julia Taylor Rayz:
Modeling Fuzzy Cluster Transitions for Topic Tracing. NAFIPS 2021: 179-189 - [c24]Kanishka Misra, Julia Taylor Rayz:
Finding Fuzziness in Neural Network Models of Language Processing. NAFIPS 2021: 278-290 - [c23]Tatiana R. Ringenberg, Kathryn C. Seigfried-Spellar, Julia Taylor Rayz:
Uncertainty to Avoid Entrapment: Comparing Internet Stings to Real Victim Conversations. NAFIPS 2021: 355-367 - [i13]Yifei Hu, Xiaonan Jing, Youlim Ko, Julia Taylor Rayz:
Misspelling Correction with Pre-trained Contextual Language Model. CoRR abs/2101.03204 (2021) - [i12]Xiaonan Jing, Julia Taylor Rayz:
Graph-of-Tweets: A Graph Merging Approach to Sub-event Identification. CoRR abs/2101.03208 (2021) - [i11]Qingyuan Hu, Yi Zhang, Kanishka Misra, Julia Rayz:
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference. CoRR abs/2101.07397 (2021) - [i10]Xiaonan Jing, Qingyuan Hu, Yi Zhang, Julia Taylor Rayz:
Tracing Topic Transitions with Temporal Graph Clusters. CoRR abs/2104.07836 (2021) - [i9]Xiaonan Jing, Yi Zhang, Qingyuan Hu, Julia Taylor Rayz:
Modeling Fuzzy Cluster Transitions for Topic Tracing. CoRR abs/2104.08258 (2021) - [i8]Kanishka Misra, Julia Taylor Rayz:
Finding Fuzziness in Neural Network Models of Language Processing. CoRR abs/2104.10813 (2021) - [i7]Geetanjali Bihani, Julia Taylor Rayz:
Fuzzy Classification of Multi-intent Utterances. CoRR abs/2104.10830 (2021) - [i6]Geetanjali Bihani, Julia Taylor Rayz:
Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations. CoRR abs/2104.10833 (2021) - [i5]Kanishka Misra, Allyson Ettinger, Julia Taylor Rayz:
Do language models learn typicality judgments from text? CoRR abs/2105.02987 (2021) - [i4]Gilchan Park, Julia Taylor Rayz, Cleveland G. Shields:
Towards The Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication. CoRR abs/2109.10514 (2021) - 2020
- [c22]Qingyuan Hu, Yi Zhang, Kanishka Misra, Julia Taylor Rayz:
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference. IEEE ICCI*CC 2020: 125-130 - [c21]Yifei Hu, Xiaonan Jing, Youlim Ko, Julia Taylor Rayz:
Misspelling Correction with Pre-trained Contextual Language Model. IEEE ICCI*CC 2020: 144-149 - [c20]Kanishka Misra, Allyson Ettinger, Julia Rayz:
Exploring Lexical Relations in BERT using Semantic Priming. CogSci 2020 - [c19]Kanishka Misra, Allyson Ettinger, Julia Rayz:
Exploring BERT's sensitivity to lexical cues using tests from semantic priming. EMNLP (Findings) 2020: 4625-4635 - [c18]Gilchan Park, Julia Taylor Rayz, Line Pouchard:
Figure Descriptive Text Extraction Using Ontological Representation. FLAIRS 2020: 130-135 - [c17]Kanishka Misra, Julia Taylor Rayz:
An Approximate Perspective on Word Prediction in Context: Ontological Semantics Meets BERT. NAFIPS 2020: 157-169 - [c16]Tatiana R. Ringenberg, Julia Taylor Rayz, Kathryn C. Seigfried-Spellar:
Using Fuzzy Sets to Assess Differences in Online Grooming Conversations with Victims, Decoys, and Law Enforcement. NAFIPS 2020: 171-182 - [c15]Geetanjali Bihani, Julia Taylor Rayz:
Model Choices Influence Attributive Word Associations: A Semi-supervised Analysis of Static Word Embeddings. WI/IAT 2020: 568-573 - [c14]Xiaonan Jing, Julia Taylor Rayz:
Graph-of-Tweets: A Graph Merging Approach to Sub-event Identification. WI/IAT 2020: 885-892 - [p1]Julia Taylor Rayz, Saltanat Tazhibayeva, Panagiota Karava:
Back to Classics: Controlling Smart Thermostats with Natural Language... with Personalization. Decision Making under Constraints 2020: 181-187 - [i3]Kanishka Misra, Allyson Ettinger, Julia Taylor Rayz:
Exploring BERT's Sensitivity to Lexical Cues using Tests from Semantic Priming. CoRR abs/2010.03010 (2020) - [i2]Geetanjali Bihani, Julia Taylor Rayz:
Model Choices Influence Attributive Word Associations: A Semi-supervised Analysis of Static Word Embeddings. CoRR abs/2012.07978 (2020)
2010 – 2019
- 2019
- [c13]Kanishka Misra, Hemanth Devarapalli, Julia Rayz:
L1 Influence on Content Word errors in Learner English Corpora: Insights from Distributed Representation of Words. CogSci 2019: 3318 - [c12]Julia Taylor Rayz, Victor Raskin:
Fuzziness and Humor: Aspects of Interaction and Computation. IFSA/NAFIPS 2019: 655-666 - [c11]Tatiana R. Ringenberg, Kanishka Misra, Kathryn C. Seigfried-Spellar, Julia Taylor Rayz:
Exploring Automatic Identification of Fantasy-Driven and Contact-Driven Sexual Solicitors. IRC 2019: 532-537 - [c10]Qiaofei Ye, Kanishka Misra, Hemanth Devarapalli, Julia Taylor Rayz:
A Sentiment Based Non-Factoid Question-Answering Framework. SMC 2019: 372-377 - [c9]Kanishka Misra, Hemanth Devarapalli, Tatiana R. Ringenberg, Julia Taylor Rayz:
Authorship Analysis of Online Predatory Conversations using Character Level Convolution Neural Networks. SMC 2019: 623-628 - [c8]Tatiana R. Ringenberg, Kanishka Misra, Julia Taylor Rayz:
Not So Cute but Fuzzy: Estimating Risk of Sexual Predation in Online Conversations. SMC 2019: 2946-2951 - 2018
- [j3]Vitaliy L. Rayz, David Saloner, Julia M. Rayz, Victor Raskin:
Cognitive Imaging: Using Knowledge Representation for Segmentation of MRA Data. Int. J. Cogn. Informatics Nat. Intell. 12(2): 1-16 (2018) - [j2]Yingxu Wang, Victor Raskin, Julia Rayz, George Baciu, Aladdin Ayesh, Fumio Mizoguchi, Shusaku Tsumoto, Dilip Patel, Newton Howard:
Cognitive Computing: Methodologies for Neural Computing and Semantic Computing in Brain-Inspired Systems. Int. J. Softw. Sci. Comput. Intell. 10(1): 1-14 (2018) - [j1]Xiaonan Jing, Penghao Wang, Julia M. Rayz:
Discovering Attribute-Specific Features From Online Reviews: What Is the Gap Between Automated Tools and Human Cognition? Int. J. Softw. Sci. Comput. Intell. 10(2): 1-24 (2018) - [c7]Xiaonan Jing, Chinmay Talekar, Julia Taylor Rayz:
Comparing Jokes with NLP: How Far Can Joke Vectors Take Us? HCI (22) 2018: 310-326 - [c6]Gilchan Park, Julia Rayz:
Ontological Detection of Phishing Emails. SMC 2018: 2858-2863 - [i1]Shih-Feng Yang, Julia Taylor Rayz:
An Event Detection Approach Based On Twitter Hashtags. CoRR abs/1804.11243 (2018) - 2017
- [c5]Julia Taylor Rayz, Vitaliy L. Rayz, Victor Raskin:
Cognitive imaging: Using knowledge representation for reliable segmentation of MR angiography data. IEEE ICCI*CC 2017: 37-42 - [c4]Penghao Wang, Julia Taylor Rayz:
Extracting aspects of online reviews: What can we make of text similarity? IEEE ICCI*CC 2017: 227-232 - [c3]Sangmi Shin, Byung-Cheol Min, Julia Rayz, Eric T. Matson:
Semantic Knowledge-Based Language Education Device for Children with Developmental Disabilities. IRC 2017: 340-345 - 2016
- [c2]Julia Taylor Rayz, Victor Raskin:
Logic of natural language: Through the eyes of ontological semantics. ICCI*CC 2016: 511-515 - [c1]Victor Raskin, Julia Taylor Rayz:
Towards a Semantic Theory of Robotic Non-cooperation. FNC/MobiSPC 2016: 392-397
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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