Papers by Verena Kaynig-Fittkau
DocTime: A Document-level Temporal Dependency Graph Parser (2022.naacl-main)
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Puneet Mathur, Vlad Morariu, Verena Kaynig-Fittkau, Jiuxiang Gu, Franck Dernoncourt, Quan Tran, Ani Nenkova, Dinesh Manocha, Rajiv Jain
| Challenge: | Document dependency graphs (TDGs) are used to understand the temporal relations between events mentioned in a document and to improve downstream tasks such as timeline creation and time-aware summarization. |
| Approach: | They propose a temporal dependency graph parser that takes input from a text document and produces a graph that incorporates longer range dependencies. |
| Outcome: | The proposed framework outperforms existing models on three datasets and improves tasks such as timeline creation, time-aware summarization, and temporal information extraction. |