Papers with Cross-Document Language Model

1 papers
CDLM: Cross-Document Language Modeling (2021.findings-emnlp)

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Challenge: Existing language models (LMs) provide powerful representations for internal text structure, but there are important applications for multi-text tasks.
Approach: They propose a pretraining approach that incorporates two key ideas into the masked language modeling objective.
Outcome: The proposed model improves over existing models and sets of long-range transformers and can be easily applied to multiple multi-text tasks.

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