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Representing text chunks [PDF]
Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics -, 1999 Dividing sentences in chunks of words is a useful preprocessing step for parsing, information extraction and information retrieval. (Ramshaw and Marcus, 1995) have introduced a "convenient" data representation for chunking by converting it to a tagging task.
Tjong Kim Sang, Erik, Veenstra, Jorn
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Frontiers in Psychology, 2012 The chunking hypothesis suggests that during the repeated exposure of stimulus material, information is organized into increasingly larger chunks. Many researchers have not considered the full power of the chunking hypothesis as both a learning mechanism
Gary eJones
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EURASIP Journal on Advances in Signal Processing, 2015 26 pages, 3 figures, submitted for journal ...
Bin Tang +4 more
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Eternal (English, Teaching, Learning & Research Journal), 2016 The objective of this research was to know whether chunking strategy effective to improve students’ reading comprehension of the second year of SMP Negeri 2 Barombong and found the students’ attitude in learning using chunking strategy.
Rini Anggraini
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Frontiers in Psychology, 2020 To better understand the benefits of using analogy and explicit instructions, the underlying cognitive mechanism remains to be explored. The concept of chunking provides a promising approach to the cognitive mechanism of instructions and can be ...
Christopher Meier +5 more
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A Bit String Content Aware Chunking Strategy for Reduced CPU Energy on Cloud Storage
Journal of Electrical and Computer Engineering, 2015 In order to achieve energy saving and reduce the total cost of ownership, green storage has become the first priority for data center. Detecting and deleting the redundant data are the key factors to the reduction of the energy consumption of CPU, while ...
Bin Zhou +3 more
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Frontiers in Human Neuroscience, 2020 Transcranial direct current stimulation (tDCS) over the primary motor cortex (M1) can facilitate motor learning, but it has not been established how stimulation to other brain regions impacts online and offline motor sequence learning, as well as long ...
Brian Greeley +5 more
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A Design of Parallel Content-Defined Chunking System Using Non-Hashing Algorithms on FPGA
IEEE Access, 2022 Content-defined chunking is a common method in many applications such as data deduplication and data synchronization. In recent years, new CDC algorithms using non-hashing methods have been developed, and positive results have been obtained.
Hung Vuong, Hung Nguyen, Linh Tran
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Energy Efficient Metadata Management for Cloud Storage System
International Journal of Distributed Sensor Networks, 2015 To effectively handle duplicate files, data deduplication schemes are widely used in many storage systems. Data deduplication algorithms reduce storage space by eliminating data to ensure that only single instance of data is stored in storage device.
Young Woong Ko +4 more
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Sequence Learning and Chunk Stability in Guinea Baboons (Papio papio)
Revue de Primatologie, 2023 Chunking mechanisms, the processes of grouping several items together into a single processing unit, are central to several cognitive processes in human and non-human primates and notably to the acquisition of visuomotor sequences.
Laure Tosatto, Joël Fagot, Arnaud Rey
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