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Inverse Suffix Array Queries for 2-Dimensional Pattern Matching in Near-Compact Space ...
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23 |
Semantic Reasoning of Product Biologically Inspired Design Based on BERT
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In: Applied Sciences; Volume 11; Issue 24; Pages: 12082 (2021)
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24 |
Bidirectional String Anchors: A New String Sampling Mechanism ...
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25 |
Lexical-semantic and executive deficits revealed by computational modelling: a drift diffusion model perspective ...
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26 |
Manipulations of List Type in the DRM Paradigm: A Review of How Structural and Conceptual Similarity Affect False Memory
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In: Faculty Publications (2021)
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27 |
Matching Equation: Teacher Rates of Praise and Reprimands
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In: Master's Theses (2021)
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29 |
Dowsing for Math Answers: Exploring MathCQA with a Math-aware Search Engine
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30 |
Do Ethnically-Congruent Teachers Really Matter Little for Hispanic Students? A Re-Examination of the Data
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Seah, Kelvin. - : Bonn: Institute of Labor Economics (IZA), 2021
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31 |
Enhanced Matching of Children’s Faces in “Super-Recognisers” But Not High-Contact Controls
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32 |
A Semi-Automated Approach for Multilingual Terminology Matching: Mapping the French Version of the ICD-10 to the ICD-10 CM
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In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.archives-ouvertes.fr/hal-02887372 ; Studies in Health Technology and Informatics, IOS Press, 2020, 270, pp.18-22. ⟨10.3233/SHTI200114⟩ (2020)
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33 |
DeezyMatch: A Flexible Deep Learning Approach to Fuzzy String Matching ...
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: Association for Computational Linguistics, 2020
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Abstract:
We present DeezyMatch, a free, open-source software library written in Python for fuzzy string matching and candidate ranking. Its pair classifier supports various deep neural network architectures for training new classifiers and for fine-tuning a pretrained model, which paves the way for transfer learning in fuzzy string matching. This approach is especially useful where only limited training examples are available. The learned DeezyMatch models can be used to generate rich vector representations from string inputs. The candidate ranker component in DeezyMatch uses these vector representations to find, for a given query, the best matching candidates in a knowledge base. It uses an adaptive searching algorithm applicable to large knowledge bases and query sets. We describe DeezyMatch’s functionality, design and implementation, accompanied by a use case in toponym matching and candidate ranking in realistic noisy datasets. ...
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Keyword:
digital humanities; machine learning; Natural Language Processing; string matching; toponym matching
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URL: https://bl.iro.bl.uk/work/6d29d681-f446-4c7e-9a24-c3fabd8baf95 https://dx.doi.org/10.23636/1217
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34 |
DAWGs for Parameterized Matching: Online Construction and Related Indexing Structures
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String Indexing with Compressed Patterns
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Bille, Philip; Steiner, Teresa Anna. - : LIPIcs - Leibniz International Proceedings in Informatics. 37th International Symposium on Theoretical Aspects of Computer Science (STACS 2020), 2020
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Extracting Problem Linkages to Improve Knowledge Exchange between Science and Technology Domains using an Attention-based Language Model ...
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Extracting Problem Linkages to Improve Knowledge Exchange between Science and Technology Domains using an Attention-based Language Model ...
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