Mar 30, 2021 · In this paper, we propose a novel SQE scheme, namely SQE-GAN, based on word embedding and GAN such that the costly feature calculation can be ...
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Mar 28, 2021 · In this paper, we introduce Generative Adversarial Nets (GANs) and propose a GAN-based SQE method (SQE-GAN) to get helpful query expansion terms ...
Mar 28, 2021 · In this paper, we introduce Generative Adversarial Nets (GANs) and propose a GAN-based SQE method (SQE-GAN) to get helpful query expansion terms ...
In this paper, we introduce Generative Adversarial Nets (GANs) and propose a GAN-based SQE method (SQE-GAN) to get helpful query expansion terms. We unify two ...
Amati, G.: Probability models for information retrieval based on divergence from randomness. · Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training ...
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Dec 15, 2023 · We propose a modified QE conditional GAN (mQE-CGAN) framework, which resolves keywords by expanding the query with a synthetically generated ...
In this paper, we point out that the cost of SQE mainly comes from term feature extraction, and propose a Two-stage Feature Selection framework (TFS) to address ...
SQE-GAN: A Supervised Query Expansion Scheme via GAN. ECIR (2) 2021: 272-279. [+][–]. Coauthor network. maximize. Note that this feature is a work in progress ...
ECIR2021.SQE-GAN: A Supervised Query Expansion Scheme via GAN literature-review Summary of the paper related to the work. #32 opened on Apr 1, 2022 by ...