Publications

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

Kanishka Misra, Julia Taylor Rayz (2021). Finding fuzziness in Neural Network Models of Language Processing (Forthcoming). In NAFIPS 2021.

Kanishka Misra, Allyson Ettinger, Julia Taylor Rayz (2020). Exploring BERT’s Sensitivity to Lexical Cues using Tests from Semantic Priming. In Findings of ACL: EMNLP 2020.

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

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Kanishka Misra, Julia Taylor Rayz (2020). An Approximate Perspective on Word Prediction in Context: Ontological Semantics meets BERT (Forthcoming). In NAFIPS 2020.

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

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

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

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

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Kanishka Misra, Hemanth Devarapalli, Julia Taylor Rayz (2019). Measuring the Influence of L1 on Learner English Errors in Content Words within Word Embedding Models. In ICCM 2019.

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

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Kathryn C. Seigfried-Spellar, Marcus K. Rogers, Julia Taylor Rayz, Shih-Feng Yang, Kanishka Misra, Tatiana Ringenberg (2019). Chat Analysis Triage Tool: Differentiating contact-driven vs. fantasy-driven child sex offenders. In Forensic Science International.

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