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Towards Parallel Algorithms for Abstract Dialectical Frameworks ...
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A theoretical and experimental analysis of BWT variants for string collections ...
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String Rearrangement Inequalities and a Total Order Between Primitive Words ...
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Dynamic Suffix Array with Polylogarithmic Queries and Updates ...
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Quantum Meets Fine-Grained Complexity: Sublinear Time Quantum Algorithms for String Problems ...
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An Optimal-Time RLBWT Construction in BWT-runs Bounded Space ...
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An Unsupervised Approach to Structuring and Analyzing Repetitive Semantic Structures in Free Text of Electronic Medical Records
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In: Journal of Personalized Medicine; Volume 12; Issue 1; Pages: 25 (2022)
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Optimal Fuzzy Controller Design for Autonomous Robot Path Tracking Using Population-Based Metaheuristics
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In: Symmetry; Volume 14; Issue 2; Pages: 202 (2022)
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Methods, Models and Tools for Improving the Quality of Textual Annotations
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In: Modelling; Volume 3; Issue 2; Pages: 224-242 (2022)
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Abstract:
In multilingual textual archives, the availability of textual annotation, that is keywords either manually or automatically associated with texts, is something worth exploiting to improve user experience and successful navigation, search and visualization. It is therefore necessary to study and develop tools for this exploitation. The paper aims to define models and tools for handling textual annotations, in our case keywords of a scientific library. With the background of NLP, machine learning and deep learning approaches are presented. They allow us, in supervised and unsupervised ways, to increase the quality of keywords. The different steps of the pipeline are addressed, and different solutions are analyzed, implemented, evaluated and compared, using statistical methods, machine learning and artificial neural networks as appropriate. If possible, off-the-shelf solutions will also be compared. The models are trained on different datasets already available or created ad hoc with common characteristics with the starting dataset. The results obtained are presented, commented and compared with each other.
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Keyword:
LSTM; machine learning algorithms; multilingual datasets; neural networks; semantic relatedness; sequence2sequence; syntactic similarity; word embedding models
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URL: https://doi.org/10.3390/modelling3020015
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Undecidability and Complexity for Super-Turing Models of Computation
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In: Proceedings; Volume 81; Issue 1; Pages: 123 (2022)
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Suffix tree-based linear algorithms for multiple prefixes, single suffix counting and listing problems ...
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Reduction ratio of the IS-algorithm: worst and random cases ...
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Optimal Fuzzy Controller Design for Autonomous Robot Path Tracking Using Population-Based Metaheuristics
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Design and development of a lead free piezoelectric energy harvester for wideband, low frequency and low amplitude vibrations
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In: Micromachines ; https://hal.archives-ouvertes.fr/hal-03549337 ; Micromachines, 2021, 12 (12), pp.1537 (2021)
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Distinct signatures of subjective confidence and objective accuracy in speech prosody
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.sorbonne-universite.fr/hal-03263512 ; Cognition, Elsevier, 2021, 212, pp.104661. ⟨10.1016/j.cognition.2021.104661⟩ (2021)
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E.W. Dijkstra, 1959, A Note on Two Problems in Connexion with Graphs. Numerische Mathematik 1, p. 269271 Version bilingue et commentée
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In: https://hal.archives-ouvertes.fr/hal-03171590 ; 2021 (2021)
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Critical Digital Humanities: texts, code and algorithms
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In: Humanités numériques dans et sur les Amériques ; https://hal.archives-ouvertes.fr/hal-03373785 ; Humanités numériques dans et sur les Amériques, Apr 2021, Avignon, France (2021)
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