activity
20162021
most citedImage-based table recognition: data, model, and evaluation

37 citations · 40 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2021

Understanding in Artificial Intelligence

Stefan Maetschke, David Martinez Iraola, Pieter Barnard +4

Current Artificial Intelligence (AI) methods, most based on deep learning, have facilitated progress in several fields, including computer vision and natural language understanding…

cs.CV2019★ 37 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

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…

cs.CL2017★ 3 cited

A Semantically Motivated Approach to Compute ROUGE Scores

Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond Wong +1

ROUGE is one of the first and most widely used evaluation metrics for text summarization. However, its assessment merely relies on surface similarities between peer and model summa…

cs.CL2016

On Improving Informativity and Grammaticality for Multi-Sentence Compression

Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond Wong +1

Multi Sentence Compression (MSC) is of great value to many real world applications, such as guided microblog summarization, opinion summarization and newswire summarization. Recent…