activity
20232026
most citedAgentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals

10 citations · 13 across the 7 of their papers we have counts for

collaborators

8 papers

cs.DL2026

URL Extraction from Scholarly Documents: A Cross-Format Comparative Analysis

Rochana R. Obadage, Lamia Salsabil, Sawood Alam +4

URLs in scholarly documents link to rich external resources such as datasets, software, publications, and websites. Extracting these URLs is crucial in the data preparation stage o…

cs.DL2025

Toward Robust URL Extraction for Open Science: A Study of arXiv File Formats and Temporal Trends

Rochana R. Obadage, Lamia Salsabil, Sawood Alam +4

In this work, we study how URL extraction results depend on input format. We compiled a pilot dataset by extracting URLs from 10 arXiv papers and used the same heuristic method to…

cs.IR2025

When LLMs Disagree: Diagnosing Relevance Filtering Bias and Retrieval Divergence in SDG Search

William A. Ingram, Bipasha Banerjee, Edward A. Fox

Large language models (LLMs) are increasingly used to assign document relevance labels in information retrieval pipelines, especially in domains lacking human-labeled data. However…

cs.DL2024★ 2 cited

Automating Chapter-Level Classification for Electronic Theses and Dissertations

Bipasha Banerjee, William A. Ingram, Edward A. Fox

Traditional archival practices for describing electronic theses and dissertations (ETDs) rely on broad, high-level metadata schemes that fail to capture the depth, complexity, and…

cs.DL2024★ 10 cited

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals

William A. Ingram, Bipasha Banerjee, Edward A. Fox

As research institutions increasingly commit to supporting the United Nations' Sustainable Development Goals (SDGs), there is a pressing need to accurately assess their research ou…

cs.CL2024

VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models

Ming Cheng, Jiaying Gong, Chenhan Yuan +3

Existing text simplification or paraphrase datasets mainly focus on sentence-level text generation in a general domain. These datasets are typically developed without using domain…

cs.CV2023

ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations

Muntabir Hasan Choudhury, Lamia Salsabil, William A. Ingram +2

Electronic theses and dissertations (ETDs) have been proposed, advocated, and generated for more than 25 years. Although ETDs are hosted by commercial or institutional digital libr…

cs.DL2023★ 1 cited

Maximizing Equitable Reach and Accessibility of ETDs

William A. Ingram, Jian Wu, Edward A. Fox

This poster addresses accessibility issues of electronic theses and dissertations (ETDs) in digital libraries (DLs). ETDs are available primarily as PDF files, which present barrie…