Dongyu Zhang
Professor of Computational Linguistics and Natural Language Processing
School of Foreign Languages and the
School of Software Technology
Dalian University of Technology, Dalian, China
Professor of Computational Linguistics and Natural Language Processing
School of Foreign Languages and the
School of Software Technology
Dalian University of Technology, Dalian, China
Building algorithms to understand and process human language, including translation, speech recognition, and text analysis.
Studying computational models to process metaphorical and abstract language, improving AI’s interpretative abilities.
Utilizing AI to identify and classify emotional tone in text for applications in social media, reviews, and healthcare.
Using AI to improve diagnostics, predict diseases, and enhance healthcare outcomes based on real-time data insights.
Leveraging AI to enhance educational processes, personalized learning, and student outcomes through adaptive technologies.
Exploring how the brain processes language through AI insights, contributing to better understanding of cognitive functions.
MultiMET is a novel multimodal metaphor dataset designed to aid in understanding metaphorical information from text and image. It includes 10,437 text-image pairs from various sources, with multimodal annotations for metaphor occurrences, domain relations, conveyed sentiments, and author intents.
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MultiCMET is a multimodal Chinese metaphor dataset comprising 13,820 text-image pairs from advertisements, with manual annotations for metaphor occurrences, source and target domain categories, and the sentiments conveyed by the metaphors.
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A large-scale dataset for training models in language understanding, including text, audio, and multimodal sources.
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Annotated data focusing on metaphorical language, aiding in training AI to recognize and interpret metaphors.
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A dataset with labeled text data for training sentiment analysis algorithms, including positive, neutral, and negative classifications.
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