activity
20192021
most citedImage-based table recognition: data, model, and evaluation

37 citations · 41 across the 2 of their papers we have counts for

collaborators

7 papers

cs.IR2021

ICDAR 2021 Competition on Scientific Literature Parsing

Antonio Jimeno Yepes, Xu Zhong, Douglas Burdick

Scientific literature contain important information related to cutting-edge innovations in diverse domains. Advances in natural language processing have been driving the fast devel…

cs.LG20214 cited

Grey-box Adversarial Attack And Defence For Sentiment Classification

Ying Xu, Xu Zhong, Antonio Jimeno Yepes +1

We introduce a grey-box adversarial attack and defence framework for sentiment classification. We address the issues of differentiability, label preservation and input reconstructi…

cs.CL2020

Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP

Ying Xu, Xu Zhong, Antonio Jose Jimeno Yepes +1

An adversarial example is an input transformed by small perturbations that machine learning models consistently misclassify. While there are a number of methods proposed to generat…

cs.CV201937 cited

Image-based table recognition: data, model, and evaluation

Xu Zhong, Elaheh ShafieiBavani, Antonio Jimeno Yepes

Important information that relates to a specific topic in a document is often organized in tabular format to assist readers with information retrieval and comparison, which may be…

cs.CL2019

Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension

Y. Xu, X. Zhong, A. J. J. Yepes +1

The creation of large-scale open domain reading comprehension data sets in recent years has enabled the development of end-to-end neural comprehension models with promising results…

cs.CL2019

Global Locality in Biomedical Relation and Event Extraction

Elaheh ShafieiBavani, Antonio Jimeno Yepes, Xu Zhong +1

Due to the exponential growth of biomedical literature, event and relation extraction are important tasks in biomedical text mining. Most work only focus on relation extraction, an…