Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Hai-Tao Zheng"'
Publikováno v:
BMC Pediatrics, Vol 23, Iss 1, Pp 1-7 (2023)
Abstract Background The hypereosinophilic syndrome (HES) is a group of rare blood disorders characterized by persistent eosinophilia and damage to multiple organs. HES can be either primary, secondary or idiopathic. Secondary HES are commonly caused
Externí odkaz:
https://doaj.org/article/a7e7e20e7de34fae842b5a0e6961f049
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 3076 (2024)
In the realm of large language models (LLMs), extending the context window for long text processing is crucial for enhancing performance. This paper introduces SBA-RoPE (Segmented Base Adjustment for Rotary Position Embeddings), a novel approach desi
Externí odkaz:
https://doaj.org/article/9fbb47ad3b034feea1522d85ab810d92
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8359 (2023)
Recently, prompt-based methods have achieved a promising performance in many natural language processing benchmarks. Despite success in sentence-level classification tasks, prompt-based methods work poorly in token-level tasks, such as named entity r
Externí odkaz:
https://doaj.org/article/0e8431517258472c8df832bc73f1a8d7
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-14 (2019)
Abstract Background Ontology has attracted substantial attention from both academia and industry. Handling uncertainty reasoning is important in researching ontology. For example, when a patient is suffering from cirrhosis, the appearance of abdomina
Externí odkaz:
https://doaj.org/article/c2e996fe812a4a2caf96f3a6d46b4bc3
Publikováno v:
IEEE Access, Vol 6, Pp 702-710 (2018)
With the development of recurrent neural networks (RNN), various natural language generation (NLG) tasks have boomed in the past few years, such as response generation in conversation and poetry generation. However, automatic generation of news comme
Externí odkaz:
https://doaj.org/article/b69f9f0d1e524431b3129cb8dd4652da
Publikováno v:
IEEE Access, Vol 5, Pp 16592-16600 (2017)
In the mobile Internet era, users access interesting information in a continuous manner rather than as one-time results through search engines. The traditional link-based ranking algorithms typically return the relevant “popular”web pages. The cu
Externí odkaz:
https://doaj.org/article/83764767c9ed443d806a9d26c0b49f80
Autor:
Ling-Jun Wei, Hai-Tao Zheng
Publikováno v:
Guoji Yanke Zazhi, Vol 17, Iss 12, Pp 2328-2330 (2017)
AIM:To analyze the clinical efficacy of Ranibizumab in the treatment of wet age-related macular degeneration(ARMD).METHODS: Clinical data of patients with wet age-related macular degeneration received treatment of ranibizumab at our hospital from 201
Externí odkaz:
https://doaj.org/article/16753f3d835c44d0adf6d2317b4b258f
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0205097 (2018)
With the development of large-scale knowledge bases (KBs), knowledge-based question answering (KBQA) has become an important research topic in recent years. The key task in KBQA is relation detection, which is the process of finding a compatible answ
Externí odkaz:
https://doaj.org/article/74f91e4f09054f0a87c1a94363233691
Publikováno v:
Applied Sciences, Vol 9, Iss 4, p 703 (2019)
Deep learning shows its superiority in many domains such as computing vision, nature language processing, and speech recognition. In music recommendation, most deep learning-based methods focus on learning users’ temporal preferences using their li
Externí odkaz:
https://doaj.org/article/bad829b8b3464d1fb6d0740b165441cb
Publikováno v:
Applied Sciences, Vol 9, Iss 3, p 386 (2019)
Recently, neural sequence-to-sequence models have made impressive progress in abstractive document summarization. Unfortunately, as neural abstractive summarization research is in a primitive stage, the performance of these models is still far from i
Externí odkaz:
https://doaj.org/article/93746385468a433482b78b688dfcba1a