Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
Annual Meeting of the Association for Computational Linguistics, 2016 Relation classification is an important semantic processing task in the field of natural language processing (NLP). State-ofthe-art systems still rely on lexical resources such as WordNet or NLP systems like dependency parser and named entity recognizers
P. Zhou +6 more
semanticscholar +1 more source
Short-term memory and vocabulary development in children with Down syndrome and children with specific language impairment [PDF]
, 2005 A longitudinal comparison was made between development of verbal and visuo-spatial short-term memory and vocabulary in children with Down syndrome (DS), children with specific language impairment (SLI), and typically developing children as a control ...
Botting, N. +2 more
core +1 more source
Cognitive abilities in children with specific language impairment: consideration of visuo-spatial skills [PDF]
, 2005 Background: The study is concerned with the cognitive abilities of children with specific language impairment (SLI). Previous research has indicated that children with SLI demonstrate difficulties with certain cognitive tasks despite normal non‐verbal IQ
Botting, N. +2 more
core +1 more source
Conceptual Short Term Memory in perception and thought
Frontiers in Psychology, 2012 Conceptual short term memory (CSTM) is a theoretical construct that provides one answer to the question of how perceptual and conceptual processes are related. CSTM is a mental buffer and processor in which current perceptual stimuli and their associated
Mary C. Potter
doaj +1 more source
Prioritizing Targets and Minimizing Distraction Within Limited Capacity Working Memory
Journal of Cognition, 2019 Oberauer (2019) maps out different perspectives that have emerged in exploring working memory and attention, and suggests particular ways in which these key aspects of cognition might operate in the service of successful goal completion.
Richard J. Allen
doaj +1 more source
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths [PDF]
Conference on Empirical Methods in Natural Language Processing, 2015 Relation classification is an important research arena in the field of natural language processing (NLP). In this paper, we present SDP-LSTM, a novel neural network to classify the relation of two entities in a sentence. Our neural architecture leverages
Yan Xu +5 more
semanticscholar +1 more source
Prediksi Pendapatan Kargo Menggunakan Arsitektur Long Short Term Memory
Jurnal Komputer Terapan, 2020 Angkutan kargo udara Indonesia saat ini mengalami perkembangan yang cukup signifikan. Salah satu layanan kargo yang terdapat di Indonesia yaitu Garuda Indonesia Cargo dan memiliki beberapa kantor cabang.
Bagas Aji Aprian +2 more
doaj +1 more source
The Effect of Jasmine Aromatherapy on Short-Term Memory Performance
Guidena, 2022 This study aims to see how successful aromatherapy is at improving short-term memory in students at the State Islamic University of Sunan Ampel Surabaya.
Ramon Ananda Paryontri +1 more
doaj +1 more source
Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks [PDF]
Proceedings of the Royal Society A, 2018 We introduce a data-driven forecasting method for high-dimensional chaotic systems using long short-term memory (LSTM) recurrent neural networks. The proposed LSTM neural networks perform inference of high-dimensional dynamical systems in their reduced ...
Pantelis R. Vlachas +4 more
semanticscholar +1 more source
Stimulus-specific mechanisms of visual short-term memory [PDF]
, 1991 The retention of spatial information in visual short-term memory was assessed by measuring spatial frequency discrimination thresholds with a two-interval forced-choice task varying the time interval between the two gratings to be compared. The memory of
Asplund, R. +3 more
core +1 more source