Praval Sharma

College of Information Science, University of Nebraska Omaha, USA

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Publication activitypapers/week, last 8 weeks

Research focus

Natural Language Processing (2)Multimodal Models (1)Data Curation & Synthetic Data (1)Eval Frameworks & Benchmarks (1)

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Ashok Samal (1)Leen-Kiat Soh (1)Deepti Joshi (1)

Papers (2)

Apr 23, 2026

College of Information ScienceApr 23, 2026·also University of Nebraska Omaha

A Multimodal Text- and Graph-Based Approach for Open-Domain Event Extraction from Documents

LLMs can extract events more effectively when combined with graph-based document representations that overcome their "lost-in-the-middle" limitations.

Praval Sharma

Multimodal Models Natural Language Processing

College of Information ScienceApr 23, 2026·also University of Nebraska Omaha, University of Nebraska–Lincoln

EVENT5Ws: A Large Dataset for Open-Domain Event Extraction from Documents

Training on EVENT5Ws allows event extraction models to generalize across geographical contexts, suggesting a path towards truly universal event understanding.

Praval Sharma, Ashok Samal, Leen-Kiat Soh +1

Data Curation & Synthetic Data Eval Frameworks & Benchmarks Natural Language Processing

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Praval Sharma

Publication activitypapers/week, last 8 weeks

Research focus

Frequent co-authors

Papers (2)