11 citations · 14 across the 6 of their papers we have counts for
8 papers
LegalCore: A Dataset for Event Coreference Resolution in Legal Documents
Kangda Wei, Xi Shi, Jonathan Tong +5
Recognizing events and their coreferential mentions in a document is essential for understanding semantic meanings of text. The existing research on event coreference resolution is…
SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement
Ishani Mondal, Zongxia Li, Yufang Hou +3
Automating the creation of scientific diagrams from academic papers can significantly streamline the development of tutorials, presentations, and posters, thereby saving time and a…
Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach
Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan +1
Generating presentation slides from a long document with multimodal elements such as text and images is an important task. This is time consuming and needs domain expertise if done…
Presentations are not always linear! GNN meets LLM for Document-to-Presentation Transformation with Attribution
Himanshu Maheshwari, Sambaran Bandyopadhyay, Aparna Garimella +1
Automatically generating a presentation from the text of a long document is a challenging and useful problem. In contrast to a flat summary, a presentation needs to have a better a…
Knowledge-Aware Neural Networks for Medical Forum Question Classification
Soumyadeep Roy, Sudip Chakraborty, Aishik Mandal +6
Online medical forums have become a predominant platform for answering health-related information needs of consumers. However, with a significant rise in the number of queries and…
An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation
Soumyadeep Roy, Shamik Sural, Niyati Chhaya +2
A consumer-dependent (business-to-consumer) organization tends to present itself as possessing a set of human qualities, which is termed as the brand personality of the company. Th…