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FecTek: Enhancing Term Weight in Lexicon-Based Retrieval with Feature Context and Term-level Knowledge
April 19, 2024, 4:47 a.m. | Zunran Wang, Zhonghua Li, Wei Shen, Qi Ye, Liqiang Nie
cs.CL updates on arXiv.org arxiv.org
Abstract: Lexicon-based retrieval has gained siginificant popularity in text retrieval due to its efficient and robust performance. To further enhance performance of lexicon-based retrieval, researchers have been diligently incorporating state-of-the-art methodologies like Neural retrieval and text-level contrastive learning approaches. Nonetheless, despite the promising outcomes, current lexicon-based retrieval methods have received limited attention in exploring the potential benefits of feature context representations and term-level knowledge guidance. In this paper, we introduce an innovative method by introducing FEature …
abstract art arxiv context cs.cl feature knowledge performance researchers retrieval robust state text type
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