Multilingual twitter corpus and baselines for evaluating demographic bias in hate speech recognition X Huang, L Xing, F Dernoncourt, MJ Paul Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020), 2020 | 95 | 2020 |
Improving unsupervised dialogue topic segmentation with utterance-pair coherence scoring L Xing, G Carenini Proceedings of the 22nd Annual Meeting of the Special Interest Group on …, 2021 | 43 | 2021 |
Exploring timelines of confirmed suicide incidents through social media X Huang, L Xing, JR Brubaker, MJ Paul 2017 IEEE International Conference on Healthcare Informatics (ICHI), 470-477, 2017 | 33 | 2017 |
Improving context modeling in neural topic segmentation L Xing, B Hackinen, G Carenini, F Trebbi Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 29 | 2020 |
Demoting the lead bias in news summarization via alternating adversarial learning L Xing, W Xiao, G Carenini Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 17 | 2021 |
Evaluating topic quality with posterior variability L Xing, MJ Paul, G Carenini Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 14 | 2019 |
Diagnosing and improving topic models by analyzing posterior variability L Xing, M Paul Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 14 | 2018 |
Incorporating metadata into content-based user embeddings L Xing, M Paul Proceedings of the 3rd Workshop on Noisy User-generated Text, 45-49, 2017 | 12 | 2017 |
Improving Topic Segmentation by Injecting Discourse Dependencies L Xing, P Huber, G Carenini Proceedings of the 3rd Workshop on Computational Approaches to Discourse …, 2022 | 7 | 2022 |
Predicting above-sentence discourse structure using distant supervision from topic segmentation P Huber, L Xing, G Carenini Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10794 …, 2022 | 6 | 2022 |
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation R Li, W Xiao, L Xing, L Wang, G Murray, G Carenini Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 6 | 2022 |
Diversity-aware coherence loss for improving neural topic models R Li, F González-Pizarro, L Xing, G Murray, G Carenini arXiv preprint arXiv:2305.16199, 2023 | 3 | 2023 |
Multi-modal video topic segmentation with dual-contrastive domain adaptation L Xing, Q Tran, F Caba, F Dernoncourt, S Yoon, Z Wang, T Bui, ... International Conference on Multimedia Modeling, 410-424, 2024 | 1 | 2024 |
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process Z Fan, B Ghaddar, X Wang, L Xing, Y Zhang, Z Zhou arXiv preprint arXiv:2401.03244, 2024 | 1 | 2024 |
Tracing Influence at Scale: A Contrastive Learning Approach to Linking Public Comments and Regulator Responses L Xing, B Hackinen, G Carenini Proceedings of the Natural Legal Language Processing Workshop 2023 (NLLP 2023), 2023 | 1 | 2023 |
Towards Human-aligned Evaluation for Linear Programming Word Problems L Xing, X Wang, Y Feng, Z Fan, J Xiong, Z Guo, X Fu, R Ramamonjison, ... Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |
Versatile Neural Approaches to More Accurate and Robust Topic Segmentation L Xing University of British Columbia, 2024 | | 2024 |
LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application R Ramamonjison, T Yu, L Xing, M Mostajabdaveh, X Li, X Fu, X Han, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | | 2023 |