IJCAI 2023poster1 citations
Automated Content Moderation Using Transparent Solutions and Linguistic Expertise
Abstract
Since the dawn of Transformer-based models, the trade-off between transparency and accuracy has been a topical issue in the NLP community. Working towards ethical and transparent automated content moderation (ACM), my goal is to find where it is still relevant to implement linguistic expertise. I show that transparent statistical models based on linguistic knowledge can still be competitive, while linguistic features have many other useful applications.
Natural Language Processing: NLP: Interpretability and analysis of models for NLPAI Ethics, Trust, Fairness: ETF: Explainability and interpretabilityNatural Language Processing: NLP: Applications
BibTeX
@inproceedings{ijcai2023p823,
title = {Automated Content Moderation Using Transparent Solutions and Linguistic Expertise},
author = {Solopova, Veronika},
booktitle = {Proceedings of the Thirty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-23}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Edith Elkind},
pages = {7097--7098},
year = {2023},
month = {8},
note = {Doctoral Consortium},
doi = {10.24963/ijcai.2023/823},
url = {https://doi.org/10.24963/ijcai.2023/823},
}