Kristen Johnson

According to our database1, Kristen Johnson authored at least 12 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Learning to Diagnose and Correct Moral Errors: Towards Enhancing Moral Sensitivity in Large Language Models.
CoRR, January, 2026

2025
Pragmatic Inference for Moral Reasoning Acquisition: Generalization via Distributional Semantics.
CoRR, September, 2025

MRS at SemEval-2025 Task 11: A Hybrid Approach for Bridging the Gap in Text-Based Emotion Detection.
Proceedings of the 19th International Workshop on Semantic Evaluation, 2025

2020
A Machine Learning Based Smartphone App for GPS Spoofing Detection.
Proceedings of the Security and Privacy in Communication Networks, 2020

2018
Classification of Moral Foundations in Microblog Political Discourse.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Modeling of Political Discourse Framing on Twitter.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Ideological Phrase Indicators for Classification of Political Discourse Framing on Twitter.
Proceedings of the Second Workshop on NLP and Computational Social Science, 2017

2016
Eavesdropping on Fine-Grained User Activities Within Smartphone Apps Over Encrypted Network Traffic.
Proceedings of the 10th USENIX Workshop on Offensive Technologies, 2016

"All I know about politics is what I read in Twitter": Weakly Supervised Models for Extracting Politicians' Stances From Twitter.
Proceedings of the COLING 2016, 2016

Identifying Stance by Analyzing Political Discourse on Twitter.
Proceedings of the First Workshop on NLP and Computational Social Science, 2016


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