Match-Unity: Long-Form Text Matching With Knowledge Complementarity

Match-Unity: Long-Form Text Matching With Knowledge Complementarity

Semantic text matching is a fundamental task in Natural Language Processing, with existing methods mainly focusing on short texts. However, handling long texts remains a challenge, as conventional approaches often involve slicing or keyword filtering, leading to a loss of semantic information. Neura...

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Bibliographic Details
Main Authors: Zhiyi He, Ke Chen, Siyuan Ren, Xinyang He, Xu Liu, Jiakang Sun, Cheng Peng
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Long-form text matching
long-form text augmentation
knowledge complementarity
Online Access:https://ieeexplore.ieee.org/document/10379098/

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