Papers with semantic-based pre-training framework

1 papers
Semantic-based Pre-training for Dialogue Understanding (2022.coling-1)

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Challenge: Pre-trained language models are weak in understanding the main semantic meaning of a dialogue context.
Approach: They propose a semantic-based framework that leverages explicit semantic knowledge to capture the core semantic information in dialogues during pre-training.
Outcome: The proposed model is superior to existing models on chit-chats and task-oriented dialogues.

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