Explore our collection of videos showcasing the cutting-edge NLP research at CTS. Many of these recordings were originally prepared for conferences and may also be available elsewhere. This dedicated space highlights our research efforts, making them accessible to a wider audience.
Shenbin Qian, Constantin Orasan, Félix Do Carmo, and Diptesh Kanojia. 2024. Evaluating Machine Translation for Emotion-loaded User Generated Content (TransEval4Emo-UGC). In Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), pages 43–44, Sheffield, UK.
Archchana Sindhujan, Diptesh Kanojia, and Constantin Orăsan (2024) Optimizing Quality Estimation for Low-Resource Language Translations: Exploring the Role of Language Relatedness . In Proceedings of the International Conference on New Trends in Translation and Technology Conference 2024, Varna,Bulgaria, pp. 170-190
Hadeel Saadany, Constantin Orăsan, Mikolaj Barczentewicz, Catherine Breslin, and Sophie Walker (2024) Linking Judgement Text to Court Hearing Videos : UK Supreme Court as a Case Study. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Turin, Italy, pp. 10598-10609
Leonardo Zilio, Shenbin Qian, Diptesh Kanojia, and Constantin Orăsan (2024) Using character-level models for efficient abbreviation and long-form detection . In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Turin, Italy, pp. 3028-3037
https://aclanthology.org/2023.findings-acl.585.mp4
Sourabh Deoghare, Paramveer Choudhary, Diptesh Kanojia, Tharindu Ranasinghe, Pushpak Bhattacharyya, and Constantin Orăsan (2023) A Multi-task Learning Framework for Quality Estimation . In Findings of the Association for Computational Linguistics: ACL 2023 , Toronto, Canada, pp. 9191-9205
https://aclanthology.org/2023.emnlp-industry.47.mp4
Hadeel Saadany, Constantin Orăsan, Catherine Breslin, and Sophie Walker (2023) Automatic Linking of Judgements to UK Supreme Court Hearings. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track , Association for Computational Linguistics, Singapore, pp. 492-500
Shenbin Qian, Constantin Orăsan, Félix do Carmo, and Diptesh Kanojia. (2023). Challenges of Human vs Machine Translation of Emotion-Loaded Chinese Microblog Texts. In Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track, pages 217–236, Macau SAR, China. Asia-Pacific Association for Machine Translation.
Shenbin Qian, Constantin Orăsan, Felix Do Carmo, Qiuliang Li, and Diptesh Kanojia (2023) Evaluation of Chinese-English Machine Translation of Emotion-Loaded Microblog Texts: A Human Annotated Dataset for the Quality Assessment of Emotion Translation . In Proceedings of the 24th Annual Conference of the European Association for Machine Translation , Tampere, Finland, pp. 125-135
https://aclanthology.org/2022.wassa-1.29.mp4
Shenbin Qian, Constantin Orăsan, Diptesh Kanojia, Hadeel Saadany, and Félix Do Carmo (2022) SURREY-CTS-NLP at WASSA2022: An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy, Distress and Emotion. In Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, pp. 271-275