1 code implementation • 12 Mar 2024 • Shuai Liu, Shantanu Agarwal, Jonathan May
Authorship style transfer aims to rewrite a given text into a specified target while preserving the original meaning in the source.
no code implementations • 16 Dec 2023 • Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michael Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis
We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions.
no code implementations • 17 May 2023 • Chris Jenkins, Shantanu Agarwal, Joel Barry, Steven Fincke, Elizabeth Boschee
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.
1 code implementation • 22 Feb 2023 • Shantanu Agarwal, Steven Fincke, Chris Jenkins, Scott Miller, Elizabeth Boschee
Taking the task of cross-lingual event detection as a motivating example, we show that the choice of pooling strategy can have a significant impact on the target language performance.
no code implementations • 25 Sep 2021 • Steven Fincke, Shantanu Agarwal, Scott Miller, Elizabeth Boschee
We show that by enabling the language model to better compensate for the deficits of sparse and noisy training data, our approach improves both trigger and argument detection and classification significantly over the state of the art in a zero-shot cross-lingual setting.
1 code implementation • EMNLP 2021 • Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam
We propose a novel problem within end-to-end learning of task-oriented dialogs (TOD), in which the dialog system mimics a troubleshooting agent who helps a user by diagnosing their problem (e. g., car not starting).