Web & Text Mining, Natural Language Processing, Privacy, Censorship, Obfuscation, Adversarial Debiasing
- Studying Bias in terms of offense and hate speech in different communities.
- Studying adversarial text generation.
- Exploring style transfer in new attributes and new architectures.
- Studying content moderation in social media. Exploring moderation with respect to classification and obfuscation. Looking to understand moderation methods being employed and how they may affect promotion of free speech.
Rusert, J. NLP_UIOWA at Semeval-2021 Task 5: Transferring Toxic Sets to Tag Toxic Spans
In Proceedings of the 15th International Workshop on Semantic Evaluation (pp. 881-887)
Shrestha, I., & Rusert, J. NLP UIOWA at SemEval-2020 Task 8: You're not the only one cursed with
knowledge - Multi branch model memotion analysis
In Proceedings of the 14th International Workshop on Semantic Evaluation (pp. 891-900).
Rusert, J., Khalid, O., Hong, D., Shafiq, Z., & Srinivasan, P. No Place to Hide: Inadvertent
Location Privacy Leaks on Twitter, Proceedings on Privacy Enhancing Technologies,
Rusert, J., & Srinivasan, P. NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass
using Multi-windowed CNNs. In Proceedings of the 13th International Workshop on
Semantic Evaluation (pp. 704-711).
Rusert, J., & Pedersen, T. Umnduluth at semeval-2016 task 14: Wordnet's missing lemmas.
In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
Language Evolves, so should WordNet: Automatically Extending WordNet with the Sense of Out of Vocabulary Lemmas