40 citations · 93 across the 5 of their papers we have counts for
7 papers
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…
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…
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…
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…
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…
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…
PubLayNet: largest dataset ever for document layout analysis
Xu Zhong, Jianbin Tang, Antonio Jimeno Yepes
Recognizing the layout of unstructured digital documents is an important step when parsing the documents into structured machine-readable format for downstream applications. Deep n…