Papers by Hongkuan Zhang

2 papers
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning (2022.emnlp-main)

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Challenge: Existing image captioning approaches treat image-caption pairs indistinctly without considering the differences in their learning difficulties.
Approach: They propose a pretrained vision–language model that measures cross-modal similarity and a model that uses cross-module similarity to measure the difficulty of captioning.
Outcome: The proposed model achieves superior performance and competitive convergence speed to baselines without incurring additional training costs.
Development of a Medical Incident Report Corpus with Intention and Factuality Annotation (2020.lrec-1)

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Challenge: Medical incident reports are documents that record what happened in a medical incident.
Approach: They propose to annotate medical incident reports with annotations of intention and factuality and medication entities and their relations.
Outcome: The proposed method combines the definition of medication entities and the method to annotate the relations between entities and extracts important information from the unstructured part.

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