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Madhusudan Basak

3 accepted papers

2025

REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction

EMNLP 2025

Event argument extraction identifies arguments for predefined event roles in text. Existing work evaluates this task with exact match (EM), where predicted arguments must align exactly with annotated spans. While suitable for span-based models, this approach falls short for large language models (LL

2024

Characterizing Information Seeking Events in Health-Related Social Discourse

AAAI 2024technical

Social media sites have become a popular platform for individuals to seek and share health information. Despite the progress in natural language processing for social media mining, a gap remains in analyzing health-related texts on social discourse in the context of events. Event-driven analysis can…

Cited by 9SourcePDFScholar
2024

Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments

EMNLP 2024main

Prior works formulate the extraction of event-specific arguments as a span extraction problem, where event arguments are explicit — i.e. assumed to be contiguous spans of text in a document. In this study, we revisit this definition of Event Extraction (EE) by introducing two key argument types that…