6 papers · 1 filter
Revisiting Semantic Role Labeling: Efficient Structured Inference with Dependency-Informed Analysis
Sangpil Youm, Leah Jones, Bonnie J. Dorr
Semantic Role Labeling (SRL) provides an explicit representation of predicate-argument structure, capturing linguistically grounded relations such as who did what to whom. While re…
DETQUS: Decomposition-Enhanced Transformers for QUery-focused Summarization
Yasir Khan, Xinlei Wu, Sangpil Youm +5
Query-focused tabular summarization is an emerging task in table-to-text generation that synthesizes a summary response from tabular data based on user queries. Traditional transfo…
Balancing Transparency and Accuracy: A Comparative Analysis of Rule-Based and Deep Learning Models in Political Bias Classification
Manuel Nunez Martinez, Sonja Schmer-Galunder, Zoey Liu +3
The unchecked spread of digital information, combined with increasing political polarization and the tendency of individuals to isolate themselves from opposing political viewpoint…
AMREx: AMR for Explainable Fact Verification
Chathuri Jayaweera, Sangpil Youm, Bonnie Dorr
With the advent of social media networks and the vast amount of information circulating through them, automatic fact verification is an essential component to prevent the spread of…
DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection
Sangpil Youm, Brodie Mather, Chathuri Jayaweera +2
Semantic role labeling (SRL) enriches many downstream applications, e.g., machine translation, question answering, summarization, and stance/belief detection. However, building mul…
Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer Architectures for Cross-Language Structural Priming
Demi Zhang, Bushi Xiao, Chao Gao +2
This study evaluates the performance of Recurrent Neural Network (RNN) and Transformer models in replicating cross-language structural priming, a key indicator of abstract grammati…