9 citations · 24 across the 9 of their papers we have counts for
9 papers
VideoAVE: A Multi-Attribute Video-to-Text Attribute Value Extraction Dataset and Benchmark Models
Ming Cheng, Tong Wu, Jiazhen Hu +2
Attribute Value Extraction (AVE) is important for structuring product information in e-commerce. However, existing AVE datasets are primarily limited to text-to-text or image-to-te…
Sci-LoRA: Mixture of Scientific LoRAs for Cross-Domain Lay Paraphrasing
Ming Cheng, Jiaying Gong, Hoda Eldardiry
Lay paraphrasing aims to make scientific information accessible to audiences without technical backgrounds. However, most existing studies focus on a single domain, such as biomedi…
Visual Zero-Shot E-Commerce Product Attribute Value Extraction
Jiaying Gong, Ming Cheng, Hongda Shen +3
Existing zero-shot product attribute value (aspect) extraction approaches in e-Commerce industry rely on uni-modal or multi-modal models, where the sellers are asked to provide det…
VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models
Ming Cheng, Jiaying Gong, Chenhan Yuan +3
Existing text simplification or paraphrase datasets mainly focus on sentence-level text generation in a general domain. These datasets are typically developed without using domain…
Few-Shot Relation Extraction with Hybrid Visual Evidence
Jiaying Gong, Hoda Eldardiry
The goal of few-shot relation extraction is to predict relations between name entities in a sentence when only a few labeled instances are available for training. Existing few-shot…
Multi-Label Zero-Shot Product Attribute-Value Extraction
Jiaying Gong, Hoda Eldardiry
E-commerce platforms should provide detailed product descriptions (attribute values) for effective product search and recommendation. However, attribute value information is typica…
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction
Jiaying Gong, Wei-Te Chen, Hoda Eldardiry
Existing attribute-value extraction (AVE) models require large quantities of labeled data for training. However, new products with new attribute-value pairs enter the market every…
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation
Jiaying Gong, Hoda Eldardiry
In relation triplet extraction (RTE), recognizing unseen relations for which there are no training instances is a challenging task. Efforts have been made to recognize unseen relat…
Zero-shot Relation Classification from Side Information
Jiaying Gong, Hoda Eldardiry
We propose a zero-shot learning relation classification (ZSLRC) framework that improves on state-of-the-art by its ability to recognize novel relations that were not present in tra…