Shenbin Qian

According to our database, Shenbin Qian authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content?

Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Félix do Carmo

CoRR, 2024

A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content.

Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Félix do Carmo

Proceedings of the Ninth Conference on Machine Translation, 2024

What do Large Language Models Need for Machine Translation Evaluation?

Shenbin Qian, Archchana Sindhujan, Minnie Kabra, Diptesh Kanojia, Constantin Orasan, Tharindu Ranasinghe, Frédéric Blain

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Evaluating Machine Translation for Emotion-loaded User Generated Content (TransEval4Emo-UGC).

Shenbin Qian, Constantin Orasan, Félix do Carmo, Diptesh Kanojia

Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), 2024

Character-level Language Models for Abbreviation and Long-form Detection.

Leonardo Zilio, Shenbin Qian, Diptesh Kanojia, Constantin Orasan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Evaluation of Chinese-English Machine Translation of Emotion-Loaded Microblog Texts: A Human Annotated Dataset for the Quality Assessment of Emotion Translation.

Shenbin Qian, Constantin Orasan, Félix do Carmo, Qiuliang Li, Diptesh Kanojia

Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023

2022

SURREY-CTS-NLP at WASSA2022: An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy, Distress and Emotion.

Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Hadeel Saadany, Félix do Carmo

Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022