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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 Fine-grained Factual Consistency Assessment for Abstractive Summarization Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Niu, Jianwei; Wei, Chuyuan. - : Underline Science Inc., 2021 BASE Show details 2 Explore Better Relative Position Embeddings from Encoding Perspective for Transformer Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Mo, Shasha; Niu, Jianwei; Qu, Anlin. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.237/ Abstract: Relative position embedding (RPE) is a successful method to explicitly and efficaciously encode position information into Transformer models. In this paper, we investigate the potential problems in Shaw-RPE and XL-RPE, which are the most representative and prevalent RPEs, and propose two novel RPEs called Low-level Fine-grained High-level Coarse-grained (LFHC) RPE and Gaussian Cumulative Distribution Function (GCDF) RPE. LFHC-RPE is an improvement of Shaw-RPE, which enhances the perception ability at medium and long relative positions. GCDF-RPE utilizes the excellent properties of the Gaussian function to amend the prior encoding mechanism in XL-RPE. Experimental results on nine authoritative datasets demonstrate the effectiveness of our methods empirically. Furthermore, GCDF-RPE achieves the best overall performance among five different RPEs. ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://underline.io/lecture/37334-explore-better-relative-position-embeddings-from-encoding-perspective-for-transformer-models https://dx.doi.org/10.48448/8v7v-pc15 BASE Hide details 3 Real-time query processing optimization for cloud-based wireless body area networks Diallo, Ousmane; Rodrigues, Joel J.P.C.; Sene, Mbaye... In: Information sciences. - New York, NY : Elsevier Science Inc. 284 (2014), 84-94 OLC Linguistik Show details

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