Papers with unsupervised pre-training method

2 papers
Pre-Training Methods for Question Reranking (2024.eacl-short)

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Challenge: Existing methods for Question Answering to search for semantically similar questions are not suitable for new questions.
Approach: They propose an unsupervised method for retrieving and ranking questions . they use a question retrieval model and a selection model to rerank questions based on their relevance .
Outcome: The proposed method achieves state-of-the-art performance on QRC and Quora-match datasets . it provides better and cheaper access to answers than the system generated them .
Improving Abstractive Dialogue Summarization with Hierarchical Pretraining and Topic Segment (2021.findings-emnlp)

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Challenge: Existing methods for meeting summary have limited the ability to deal with long-term dependency.
Approach: They propose a hierarchical transformer encoder-decoder network with multi-task pre-training to capture key sentences at word level and generate them at word-level.
Outcome: The proposed model is superior to the previous methods in meeting summary datasets AMI and ICSI.

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