activity
20242026
most citedEmpowering the Deaf and Hard of Hearing Community: Enhancing Video Captions Using Large Language Models

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

BioELX: Context-Aware Cross-lingual Biomedical Entity Linking without Task-Specific Supervision

Yi Wang, Corina Dima, Liangyu Zhong +1

Cross-lingual biomedical entity linking (BEL) maps mentions in any language to unique identifiers in a biomedical knowledge base, supporting clinical and biomedical NLP application…

cs.SE2025

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code

Nadeen Fathallah, Daniel Hernández, Steffen Staab

The vast majority of Web pages fail to comply with established Web accessibility guidelines, excluding a range of users with diverse abilities from interacting with their content.…

cs.DB2025★ 1 cited

Retrieval-Augmented Generation of Ontologies from Relational Databases

Nadeen Fathallah, Mojtaba Nayyeri, Athish A Yogi +4

Deriving OWL ontologies from relational database schemas supports semantic interoperability and downstream tasks such as knowledge graph population, ontology-based data access, gra…

cs.AI2024

LLMs4Life: Large Language Models for Ontology Learning in Life Sciences

Nadeen Fathallah, Steffen Staab, Alsayed Algergawy

Ontology learning in complex domains, such as life sciences, poses significant challenges for current Large Language Models (LLMs). Existing LLMs struggle to generate ontologies wi…

cs.AI2024★ 1 cited

Empowering the Deaf and Hard of Hearing Community: Enhancing Video Captions Using Large Language Models

Nadeen Fathallah, Monika Bhole, Steffen Staab

In today's digital age, video content is prevalent, serving as a primary source of information, education, and entertainment. However, the Deaf and Hard of Hearing (DHH) community…