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Wenhao Zhu, Xiaoyu Zhang, Qiuhong Zhai and Chenyun Liu
In the two-stage open-domain question answering (OpenQA) systems, the retriever identifies a subset of relevant passages, which the reader then uses to extract or generate answers. However, the performance of OpenQA systems is often hindered by issues su...
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Renaud Fabre, Otmane Azeroual, Joachim Schöpfel, Patrice Bellot and Daniel Egret
The digital support for scientific reasoning presents contrasting results. Bibliometric services are improving, but not academic assessment; no service for scholars relies on logs of web usage to base query strategies for relevance judgments (or assessor...
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Qiuhong Zhai, Wenhao Zhu, Xiaoyu Zhang and Chenyun Liu
In recent years, dense retrieval has emerged as the primary method for open-domain question-answering (OpenQA). However, previous research often focused on the query side, neglecting the importance of the passage side. We believe that both the query and ...
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Rui Zhu, Bo Liu, Ruwen Zhang, Shengxiang Zhang and Jiuxin Cao
The constantly updating big data in the ocean engineering domain has challenged the traditional manner of manually extracting knowledge, thereby underscoring the current absence of a knowledge graph framework in such a special field. This paper proposes ...
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Vitalii Yesin, Mikolaj Karpinski, Maryna Yesina, Vladyslav Vilihura, Ruslan Kozak and Ruslan Shevchuk
The growing popularity of data outsourcing to third-party cloud servers has a downside, related to the serious concerns of data owners about their security due to possible leakage. The desire to reduce the risk of loss of data confidentiality has become ...
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Akuto Akpedze Konou, Armel Firmin Kemajou Mbianda, Baraka Jean-Claude Munyaka and Jérôme Chenal
Urban agriculture (UA) is an ancient practice in Africa that meets social- and health-related needs. However, it is unclear whether architects and urban planners have incorporated the topic into their research and practices. This study aimed to assess th...
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Wenjing Yang, Liejun Wang, Shuli Cheng, Yongming Li and Anyu Du
Recently, deep learning to hash has extensively been applied to image retrieval, due to its low storage cost and fast query speed. However, there is a defect of insufficiency and imbalance when existing hashing methods utilize the convolutional neural ne...
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Teofan Clipa and Giorgio Maria Di Nunzio
In this work, we compare and analyze a variety of approaches in the task of medical publication retrieval and, in particular, for the Technology Assisted Review (TAR) task. This problem consists in the process of collecting articles that summarize all ev...
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Salman Dziyaul Azmi,Retno Kusumaningrum
Pág. 171 - 182
Background: The Rapid growth of technological developments in Indonesia had resulted in a growing amount of information. Therefore, a new information retrieval environment is necessary for finding documents that are in accordance with the user?s informat...
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Fawaz Alanazi and Taoufik Yeferny
Peer-to-peer (P2P) systems have offered users an efficient way to share various resources and access diverse services over the Internet. In unstructured P2P systems, resource storage and indexation are fully distributed among participating peers. Therefo...
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