| A hybrid model for quality assessment of Wikipedia articles A Shen, J Qi, T Baldwin Proceedings of the Australasian Language Technology Association Workshop …, 2017 | 38 | 2017 |
| A joint model for multimodal document quality assessment A Shen, B Salehi, T Baldwin, J Qi 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 107-110, 2019 | 23 | 2019 |
| Contrastive learning for fair representations A Shen, X Han, T Cohn, T Baldwin, L Frermann arXiv preprint arXiv:2109.10645, 2021 | 20 | 2021 |
| Evaluating document coherence modeling A Shen, M Mistica, B Salehi, H Li, T Baldwin, J Qi Transactions of the Association for Computational Linguistics 9, 621-640, 2021 | 17 | 2021 |
| Optimising equal opportunity fairness in model training A Shen, X Han, T Cohn, T Baldwin, L Frermann arXiv preprint arXiv:2205.02393, 2022 | 16 | 2022 |
| Does Representational Fairness Imply Empirical Fairness? A Shen, X Han, T Cohn, T Baldwin, L Frermann Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022 …, 2022 | 11 | 2022 |
| A joint model for multimodal document quality assessment. In 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL) A Shen, B Salehi, T Baldwin, J Qi IEEE, 107ś110, 2019 | 11 | 2019 |
| fairlib: A unified framework for assessing and improving classification fairness X Han, A Shen, Y Li, L Frermann, T Baldwin, T Cohn arXiv preprint arXiv:2205.01876, 2022 | 10 | 2022 |
| Modelling uncertainty in collaborative document quality assessment A Shen, D Beck, B Salehi, J Qi, T Baldwin Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019 …, 2019 | 9 | 2019 |
| Systematic evaluation of predictive fairness X Han, A Shen, T Cohn, T Baldwin, L Frermann arXiv preprint arXiv:2210.08758, 2022 | 7 | 2022 |
| A general approach to multimodal document quality assessment A Shen, B Salehi, J Qi, T Baldwin Journal of Artificial Intelligence Research 68, 607-632, 2020 | 7 | 2020 |
| A Multimodal Approach to Assessing Document Quality. A Shen, B Salehi, J Qi, T Baldwin Journal of Artificial Intelligence Research 68, 2020 | 7 | 2020 |
| Fairlib: A unified framework for assessing and improving fairness X Han, A Shen, Y Li, L Frermann, T Baldwin, T Cohn Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 5 | 2022 |
| A simple yet effective method for sentence ordering A Shen, T Baldwin Proceedings of the 22nd Annual Meeting of the Special Interest Group on …, 2021 | 5 | 2021 |
| On the (in) effectiveness of images for text classification C Ma, A Shen, H Yoshikawa, T Iwakura, D Beck, T Baldwin Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 5 | 2021 |
| Feature-guided neural model training for supervised document representation learning A Shen, B Salehi, J Qi, T Baldwin Proceedings of the The 17th Annual Workshop of the Australasian Language …, 2019 | 4 | 2019 |
| UOM-FJ at the NTCIR-15 SHINRA2020-ML task H Yoshikawa, C Ma, A Shen, Q Sun, C Huang, G Pelat, A Miura, D Beck, ... Proceedings of the 15th NTCIR Conference on Evaluation of Information Access …, 2020 | 3 | 2020 |
| Unsupervised expert finding in social network for personalized recommendation J Ding, Y Chen, X Li, G Liu, A Shen, X Meng Web-Age Information Management: 17th International Conference, WAIM 2016 …, 2016 | 3 | 2016 |
| On the effectiveness of images in multi-modal text classification: an annotation study C Ma, A Shen, H Yoshikawa, T Iwakura, D Beck, T Baldwin ACM Transactions on Asian and Low-Resource Language Information Processing …, 2023 | 2 | 2023 |
| Towards fair dataset distillation for text classification X Han, A Shen, Y Li, L Frermann, T Baldwin, T Cohn Proceedings of The Third Workshop on Simple and Efficient Natural Language …, 2022 | 2 | 2022 |
