Results 21 to 30 of about 470,710 (269)
Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015 Retrievability is an important and interesting indicator that can be used in a number of ways to analyse Information Retrieval systems and document collections. Rather than focusing totally on relevance, retrievability examines what is retrieved, how often it is retrieved, and whether a user is likely to retrieve it or not.
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BMC Research Notes, 2017 Objective Adequacy of cardiopulmonary resuscitation relies on compression of the thoracic cage to produce changes in intra-thoracic pressures sufficient to generate a pressure gradient.
Paul Secombe +2 more
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Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 2018 Background We examined the effect of advanced preparation and organisation of equipment and drugs for Pre-hospital Emergency Anaesthesia (PHEA) and tracheal intubation on procedural time, error rates, and cognitive load.
Paul Swinton +6 more
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The retrievability of documents [PDF]
Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, 2014 Retrievability is an important and interesting indicator that can be used in a number of ways to analyse Information Retrieval systems and document collections. Rather than focusing totally on relevance, retrievability examines what is retrieved, how often it is retrieved, and whether a user is likely to retrieve a document or not.
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Adversarial Retriever-Ranker for dense text retrieval
CoRR, 2021 Current dense text retrieval models face two typical challenges. First, they adopt a siamese dual-encoder architecture to encode queries and documents independently for fast indexing and searching, while neglecting the finer-grained term-wise interactions. This results in a sub-optimal recall performance. Second, their model training highly relies on a
Hang Zhang 0029 +5 more
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Neural Coreference Resolution for Dutch Parliamentary Documents with the DutchParliament Dataset
Data, 2023 The task of coreference resolution concerns the clustering of words and phrases referring to the same entity in text, either in the same document or across multiple documents.
Ruben van Heusden +2 more
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DeepSeek-V3: Architecture and Optimizations-A Practical Review [PDF]
EPJ Web of ConferencesThe design of transformer-based Large Language Models (LLMs) is being radically changed through new architectures that are able to overcome scalability limitations of previous designs, including Mixture-of-Experts (MoE), Multi-Head Latent Attention (MLA),
Zouhdi Yassine, Hdioud Boutaina
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Telehealth use in rural and remote health practitioner education: an integrative review
Rural and Remote Health, 2022 Introduction: For rural and remote clinicians, quality education is often difficult to access because of geographic isolation, travel, time, expense constraints and lack of an onsite educator.
Pauline Calleja +3 more
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Enhanced Lightweight Object Detection Model in Complex Scenes: An Improved YOLOv8n Approach
InformationObject detection has a vital impact on the analysis and interpretation of visual scenes. It is widely utilized in various fields, including healthcare, autonomous driving, and vehicle surveillance.
Sohaya El Hamdouni +2 more
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Neurosymbolic Retrievers for Retrieval-Augmented Generation
IEEE Intelligent SystemsRetrieval Augmented Generation (RAG) has made significant strides in overcoming key limitations of large language models, such as hallucination, lack of contextual grounding, and issues with transparency. However, traditional RAG systems consist of three interconnected neural components - the retriever, re-ranker, and generator - whose internal ...
Yash Saxena, Manas Gaur
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