Papers with document-level encoder
Text Summarization with Pretrained Encoders (D19-1)
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| Challenge: | Existing pretraining languages such as ELMo and GPT have advanced a wide range of tasks. |
| Approach: | They propose a novel document-level encoder based on BERT which can express the semantics of a document and obtain representations for its sentences. |
| Outcome: | The proposed model achieves state-of-the-art in extractive and abstractive settings. |
Document-level Event Extraction via Parallel Prediction Networks (2021.acl-long)
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| Challenge: | Document-level event extraction (DEE) is indispensable when events are described throughout a document. |
| Approach: | They propose a document-level event extraction model that can extract structured events from a text in parallel. |
| Outcome: | The proposed model outperforms current state-of-the-art methods on a document-level event extraction task. |