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Parker Seegmiller

4 accepted papers

2025

Document-Level Event-Argument Data Augmentation for Challenging Role Types

ACL 2025long

Event Argument Extraction (EAE) is a daunting information extraction problem — with significant limitations in few-shot cross-domain (FSCD) settings. A common solution to FSCD modeling is data augmentation. Unfortunately, existing augmentation methods are not well-suited to a variety of real-world E…

2025

FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline

EMNLP 2025

Recent works improving LLM math reasoning with synthetic data have used unique setups, making comparison of data synthesis strategies impractical. This leaves many unanswered questions about the roles of different factors in the synthetic data pipeline, such as the impact of filtering low-quality pr

2025

Follow-up Question Generation For Enhanced Patient-Provider Conversations

ACL 2025long

Follow-up question generation is an essential feature of dialogue systems as it can reduce conversational ambiguity and enhance modeling complex interactions. Conversational contexts often pose core NLP challenges such as (i) extracting relevant information buried in fragmented data sources, and (ii…

Cited by 0SourcePDFScholar
2023

Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings

EMNLP 2023long main

The popularity of transformer-based text embeddings calls for better statistical tools for measuring distributions of such embeddings. One such tool would be a method for ranking texts within a corpus by centrality, i.e. assigning each text a number signifying how representative that text is of the…

Cited by 0SourcecodeScholar