1 citations · 2 across the 6 of their papers we have counts for
5 papers · 1 filter
Cross-Genre Authorship Attribution via LLM-Based Retrieve-and-Rerank
Shantanu Agarwal, Joel Barry, Steven Fincke +1
Authorship attribution (AA) is the task of identifying the most likely author of a query document from a predefined set of candidate authors. We introduce a two-stage retrieve-and-…
Separating Style from Substance: Enhancing Cross-Genre Authorship Attribution through Data Selection and Presentation
Steven Fincke, Elizabeth Boschee
The task of deciding whether two documents are written by the same author is challenging for both machines and humans. This task is even more challenging when the two documents are…
Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search
Chris Jenkins, Shantanu Agarwal, Joel Barry +2
In this paper, we present ISI-Clear, a state-of-the-art, cross-lingual, zero-shot event extraction system and accompanying user interface for event visualization & search. Using on…
Impact of Subword Pooling Strategy on Cross-lingual Event Detection
Shantanu Agarwal, Steven Fincke, Chris Jenkins +2
Pre-trained multilingual language models (e.g., mBERT, XLM-RoBERTa) have significantly advanced the state-of-the-art for zero-shot cross-lingual information extraction. These langu…
Language Model Priming for Cross-Lingual Event Extraction
Steven Fincke, Shantanu Agarwal, Scott Miller +1
We present a novel, language-agnostic approach to "priming" language models for the task of event extraction, providing particularly effective performance in low-resource and zero-…