Results 1 to 10 of about 10,216,312 (336)
Neural information retrieval: at the end of the early years
Information Retrieval Journal, 2017 A recent “third wave” of neural network (NN) approaches now delivers state-of-the-art performance in many machine learning tasks, spanning speech recognition, computer vision, and natural language processing.
Kezban Dilek Onal +18 more
semanticscholar +1 more source
SensorsUnderwater wireless sensor networks have a wide range of application prospects in important fields such as ocean exploration and underwater environment monitoring. However, the influence of complex underwater environments makes underwater wireless sensor
Jun Ye, Weili Jiang
doaj +1 more source
On the concept of relevance in legal information retrieval
Artificial Intelligence and Law, 2017 The concept of ‘relevance’ is crucial to legal information retrieval, but because of its intuitive understanding it goes undefined too easily and unexplored too often.
Marc van Opijnen, Cristiana Santos
semanticscholar +1 more source
A New Image Oversampling Method Based on Influence Functions and Weights
Applied SciencesAlthough imbalanced data have been studied for many years, the problem of data imbalance is still a major problem in the development of machine learning and artificial intelligence. The development of deep learning and artificial intelligence has further
Jun Ye, Shoulei Lu, Jiawei Chen
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Bibliometric-Enhanced Information Retrieval [PDF]
, 2014 6 pages, accepted workshop proposal for ECIR ...
Andrea Scharnhorst +4 more
openaire +4 more sources
Information Retrieval and Text Mining Technologies for Chemistry.
Chemical Reviews, 2017 Efficient access to chemical information contained in scientific literature, patents, technical reports, or the web is a pressing need shared by researchers and patent attorneys from different chemical disciplines.
Martin Krallinger +4 more
semanticscholar +1 more source
Clinical entity-aware domain adaptation in low resource setting for inflammatory bowel disease
Frontiers in Artificial IntelligenceThe digitization of healthcare records has revolutionized medical research and patient care, with electronic health records (EHRs) containing a wealth of structured and unstructured data.
Sumam Francis +5 more
doaj +1 more source
IEEE Access, 2019 In recent decades, the vast majority of researchers in the field of information retrieval (IR) have been studying three main categories of IR models (i.e., vector space models, probabilistic models and statistical language models).
Zhiwei Ying +2 more
doaj +1 more source
R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation [PDF]
arXivRetrieval augmented generation (RAG) has been applied in many scenarios to augment large language models (LLMs) with external documents provided by retrievers. However, a semantic gap exists between LLMs and retrievers due to differences in their training objectives and architectures.
arxiv