Papers by Shih-Ting Lin
Conditional Generation of Temporally-ordered Event Sequences (2021.acl-long)
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| Challenge: | a new model of narrative schema knowledge does not capture the temporal relationships between events . a temporal order model is able to unscramble event sequences without access to labeled temporal training data . |
| Approach: | They propose a temporal order-based model that can be flexibly applied to different tasks . they use a BART-based conditional generation model that captures temporal co-occurrence . |
| Outcome: | The proposed model outperforms existing models on temporal ordering and event infilling tasks. |
ReadOnce Transformers: Reusable Representations of Text for Transformers (2021.acl-long)
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| Challenge: | ReadOnce Transformers is a task-independent, task-dependent, and compressed representation of text. |
| Approach: | They propose a transformer-based model that can build an information-capturing, task-independent, and compressed representation of text. |
| Outcome: | The proposed model can build an information-capturing, task-independent, and compressed representation of text. |