13 citations · 23 across the 4 of their papers we have counts for
4 papers
SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS)
Nancy X. R. Wang, Diwakar Mahajan, Marina Danilevsky +1
Understanding tables is an important and relevant task that involves understanding table structure as well as being able to compare and contrast information within cells. In this p…
D2S: Document-to-Slide Generation Via Query-Based Text Summarization
Edward Sun, Yufang Hou, Dakuo Wang +2
Presentations are critical for communication in all areas of our lives, yet the creation of slide decks is often tedious and time-consuming. There has been limited research aiming…
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…