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Brodie Mather

2 accepted papers

2025

FIDELITY: Fine-grained Interpretable Distillation for Effective Language Insights and Topic Yielding

NAACL 2025findings

The rapid expansion of text data has increased the need for effective methods to distill meaningful information from large datasets. Traditional and state-of-the-art approaches have made significant strides in topic modeling, yet they fall short in generating contextually specific and semantically i…

Cited by 0SourcePDFScholar
2022

From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains

ACL 2022findings

We present a generalized paradigm for adaptation of propositional analysis (predicate-argument pairs) to new tasks and domains. We leverage an analogy between stances (belief-driven sentiment) and concerns (topical issues with moral dimensions/endorsements) to produce an explanatory representation.…