% Use this file for citations not found in the ACL Anthology (contained in "anthology.bib").

%%%% Shared task / dataset (SemEval-2026 Task 3) %%%%
@inproceedings{yu-etal-2026-semeval,
  title     = {SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis (DimABSA)},
  author    = {Yu, Liang-Chih and Becker, Jonas and Muhammad, Shamsuddeen Hassan and Abdulmumin, Idris and Lee, Lung-Hao and Lin, Ying-Lung and Wang, Jin and Wahle, Jan Philip and Ruas, Terry and Panchenko, Alexander and Alimova, Ilseyar and Chang, Kai-Wei and Wanzare, Lilian and Odhiambo, Nelson and Gipp, Bela and Mohammad, Saif M.},
  booktitle = {Proceedings of the 20th International Workshop on Semantic Evaluation (SemEval-2026)},
  year      = {2026},
  month     = jun,
  publisher = {Association for Computational Linguistics}
}

@misc{becker2026dimstancemultilingualdatasetsdimensional,
  title        = {DimStance: Multilingual Datasets for Dimensional Stance Analysis},
  author       = {Becker, Jonas and Yu, Liang-Chih and Muhammad, Shamsuddeen Hassan and Wahle, Jan Philip and Ruas, Terry and Abdulmumin, Idris and Lee, Lung-Hao and Odhiambo, Nelson and Wanzare, Lilian and Liu, Wen-Ni and Lin, Tzu-Mi and Xu, Zhe-Yu and Lin, Ying-Lung and Wang, Jin and Mukhtar, Maryam Ibrahim and Gipp, Bela and Mohammad, Saif M.},
  year         = {2026},
  eprint       = {2601.21483},
  archivePrefix= {arXiv},
  primaryClass = {cs.CL},
  url          = {https://arxiv.org/abs/2601.21483}
}

@misc{lee2026dimabsabuildingmultilingualandmultidomaindatasetsfordimensionalaspectbasedsentimentanalysis,
  title        = {DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis},
  author       = {Lee, Lung-Hao and Yu, Liang-Chih and Loukashevich, Natalia and Alimova, Ilseyar and Panchenko, Alexander and Lin, Tzu-Mi and Xu, Zhe-Yu and Zhou, Jian-Yu and Zheng, Guangmin and Wang, Jin and Awasthi, Sharanya and Becker, Jonas and Wahle, Jan Philip and Ruas, Terry and Muhammad, Shamsuddeen Hassan and Mohammad, Saif M.},
  year         = {2026},
  eprint       = {2601.23022},
  archivePrefix= {arXiv},
  primaryClass = {cs.CL},
  url          = {https://arxiv.org/abs/2601.23022}
}

%%%% Classic stance detection / target conditioning %%%%
@inproceedings{mohammad2016semeval,
  title        = {SemEval-2016 Task 6: Detecting Stance in Tweets},
  author       = {Mohammad, Saif M. and Kiritchenko, Svetlana and Sobhani, Parinaz and Zhu, Xiaodan and Cherry, Colin},
  booktitle    = {Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)},
  year         = {2016},
  address      = {San Diego, California},
  publisher    = {Association for Computational Linguistics},
  pages        = {31--41},
  url          = {https://aclanthology.org/S16-1003/}
}

@inproceedings{augenstein2016stance,
  title        = {Stance Detection with Bidirectional Conditional Encoding},
  author       = {Augenstein, Isabelle and Rockt{\"a}schel, Tim and Vlachos, Andreas and Bontcheva, Kalina},
  booktitle    = {Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year         = {2016},
  publisher    = {Association for Computational Linguistics},
  pages        = {876--885},
  url          = {https://aclanthology.org/D16-1084/}
}

@misc{vamvas2020xstance,
  title        = {X-Stance: A Multilingual Multi-Target Dataset for Stance Detection},
  author       = {Vamvas, Jannis and Sennrich, Rico},
  year         = {2020},
  eprint       = {2003.08385},
  archivePrefix= {arXiv},
  primaryClass = {cs.CL},
  url          = {https://arxiv.org/abs/2003.08385}
}

%%%% Valence-arousal / affect foundations %%%%
@book{mehrabian1974approach,
  title     = {An Approach to Environmental Psychology},
  author    = {Mehrabian, Albert and Russell, James A.},
  year      = {1974},
  publisher = {MIT Press},
  address   = {Cambridge, MA}
}

@article{russell1980circumplex,
  title   = {A Circumplex Model of Affect},
  author  = {Russell, James A.},
  journal = {Journal of Personality and Social Psychology},
  year    = {1980},
  volume  = {39},
  number  = {6},
  pages   = {1161--1178}
}

@article{bradley1994measuring,
  title   = {Measuring Emotion: The Self-Assessment Manikin and the Semantic Differential},
  author  = {Bradley, Margaret M. and Lang, Peter J.},
  journal = {Journal of Behavior Therapy and Experimental Psychiatry},
  year    = {1994},
  volume  = {25},
  number  = {1},
  pages   = {49--59}
}

%%%% Calibration / ensembles / robustness %%%%
@inproceedings{guo2017calibration,
  title        = {On Calibration of Modern Neural Networks},
  author       = {Guo, Chuan and Pleiss, Geoff and Sun, Yu and Weinberger, Kilian Q.},
  booktitle    = {Proceedings of the 34th International Conference on Machine Learning (ICML)},
  year         = {2017},
  pages        = {1321--1330},
  publisher    = {PMLR},
  url          = {http://proceedings.mlr.press/v70/guo17a.html}
}

@inproceedings{kuleshov2018accurate,
  title        = {Accurate Uncertainties for Deep Learning Using Calibrated Regression},
  author       = {Kuleshov, Volodymyr and Fenner, Nathan and Ermon, Stefano},
  booktitle    = {Proceedings of the 35th International Conference on Machine Learning (ICML)},
  year         = {2018},
  pages        = {2796--2804},
  publisher    = {PMLR},
  url          = {http://proceedings.mlr.press/v80/kuleshov18a.html}
}

@inproceedings{lakshminarayanan2017deepensembles,
  title        = {Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles},
  author       = {Lakshminarayanan, Balaji and Pritzel, Alexander and Blundell, Charles},
  booktitle    = {Advances in Neural Information Processing Systems (NeurIPS)},
  year         = {2017},
  url          = {https://proceedings.neurips.cc/paper/2017/hash/9ef2ed4b7fd2c810847ffa5fa85bce38-Abstract.html}
}

@inproceedings{ovadia2019can,
  title        = {Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty under Dataset Shift},
  author       = {Ovadia, Yaniv and Fertig, Emily and Ren, Jie and Nado, Zachary and Sculley, D. and Nowozin, Sebastian and Dillon, Joshua V. and Lakshminarayanan, Balaji and Snoek, Jasper},
  booktitle    = {Advances in Neural Information Processing Systems (NeurIPS)},
  year         = {2019},
  url          = {https://proceedings.neurips.cc/paper/2019/hash/8558cb408c1d76621371888657d2eb1d-Abstract.html}
}

%%%% Backbones (optional, for method context) %%%%
@inproceedings{he2021deberta,
  title     = {DeBERTa: Decoding-Enhanced BERT with Disentangled Attention},
  author    = {He, Pengcheng and Liu, Xiaodong and Gao, Jianfeng and Chen, Weizhu},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
  year      = {2021},
  url       = {https://openreview.net/forum?id=XPZIaotutsD}
}