13 citations · 24 across the 3 of their papers we have counts for
4 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…
TableLab: An Interactive Table Extraction System with Adaptive Deep Learning
Nancy Xin Ru Wang, Douglas Burdick, Yunyao Li
Table extraction from PDF and image documents is a ubiquitous task in the real-world. Perfect extraction quality is difficult to achieve with one single out-of-box model due to (1)…
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context
Xinyi Zheng, Doug Burdick, Lucian Popa +2
Documents are often used for knowledge sharing and preservation in business and science, within which are tables that capture most of the critical data. Unfortunately, most documen…
Exploiting Lists of Names for Named Entity Identification of Financial Institutions from Unstructured Documents
Zheng Xu, Douglas Burdick, Louiqa Raschid
There is a wealth of information about financial systems that is embedded in document collections. In this paper, we focus on a specialized text extraction task for this domain. Th…