Papers by Shantanu Agarwal
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs (2021.emnlp-main)
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| Challenge: | Existing systems that use human-to-human dialogs to help users with specific tasks are still unexplored. |
| Approach: | They propose a problem in which a dialog system mimics a troubleshooting agent . they use a dataset grounded on 12 different troubleshooking flowcharts to train the agent a neural model . |
| Outcome: | The proposed model can do zero-shot transfer to unseen flowcharts and sets a strong baseline for future research. |
Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search (2023.acl-demo)
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| Challenge: | Using only English training data, ISI-Clear makes global events available on-demand in 100 languages . Using a fixed task, events may still shift from day to day . |
| Approach: | They propose a cross-lingual zero-shot event extraction system that makes global events available on-demand in 100 languages. |
| Outcome: | The proposed system can extract events from non-English documents in 100 languages. |