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Margarita Bugueño

2 accepted papers

2025

GraphLSS: Integrating Lexical, Structural, and Semantic Features for Long Document Extractive Summarization

NAACL 2025short

Heterogeneous graph neural networks have recently gained attention for long document summarization, modeling the extraction as a node classification task. Although effective, these models often require external tools or additional machine learning models to define graph components, producing highly…

2023

Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification using Graph Neural Networks?

EMNLP 2023long findings

Given the success of Graph Neural Networks (GNNs) for structure-aware machine learning, many studies have explored their use for text classification, but mostly in specific domains with limited data characteristics. Moreover, some strategies prior to GNNs relied on graph mining and classical machine…

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