Yu He


2022

pdf bib
Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding
Ao Jia | Yu He | Yazhou Zhang | Sagar Uprety | Dawei Song | Christina Lioma
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Desire is a strong wish to do or have something, which involves not only a linguistic expression, but also underlying cognitive phenomena driving human feelings. As the most primitive and basic human instinct, conscious desire is often accompanied by a range of emotional responses. As a strikingly understudied task, it is difficult for machines to model and understand desire due to the unavailability of benchmarking datasets with desire and emotion labels. To bridge this gap, we present MSED, the first multi-modal and multi-task sentiment, emotion and desire dataset, which contains 9,190 text-image pairs, with English text. Each multi-modal sample is annotated with six desires, three sentiments and six emotions. We also propose the state-of-the-art baselines to evaluate the potential of MSED and show the importance of multi-task and multi-modal clues for desire understanding. We hope this study provides a benchmark for human desire analysis. MSED will be publicly available for research.

2015

pdf bib
Polarity Classification of Short Product Reviews via Multiple Cluster-based SVM Classifiers
Jiaying Song | Yu He | Guohong Fu
Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation: Posters

2014

pdf bib
Improving Chinese Sentence Polarity Classification via Opinion Paraphrasing
Guohong Fu | Yu He | Jiaying Song | Chaoyue Wang
Proceedings of The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing

2013

pdf bib
Description of HLJU Chinese Spelling Checker for SIGHAN Bakeoff 2013
Yu He | Guohong Fu
Proceedings of the Seventh SIGHAN Workshop on Chinese Language Processing