Papers with document-level encoder

2 papers
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.

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