PDAM-FAQ: Paraphrasing-Based Data Augmentation and Mixed-Feature Semantic Matching for Low-Resource FAQs

Frequently Asked Questions (FAQs) systems rely on semantic symmetry similarity measuring between two sentences. To address the challenges of insufficient training data and limited domain-specific understanding in low-resource FAQs, this paper proposes a general framework, PDAM-FAQ, to solve these is...

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書誌詳細

出版年:	IEEE Access
主要な著者:	Dongsheng Wang, Liming Wang, Kun Tang, Qile Bo
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2024-01-01
主題:	Paraphrasing data augmentation semantic matching FAQ low-resource
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10794658/