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A new approach of attribute partial order structure diagram for word sense disambiguation of English prepositions

Published: 01 March 2016 Publication History

Abstract

To improve the accuracy of word sense disambiguation (WSD) has been a significant issue, and to visualize the structure of a dataset to discover knowledge has been an urgent demand in natural language processing. In order to fulfill these two tasks simultaneously, a new approach of attribute partial order structure diagram is proposed. The principle of attribute partial order and the approach of attribute partial order structure diagram are described. The proposed approach is testified by the WSD of the English preposition over, using the dataset from SemEval corpus. Two well-accepted sense inventories for fine-grained WSD of the English prepositions are adopted. The formal contexts for the fine-grained WSD of the English preposition over are established and the corresponding attribute partial order structure diagrams are generated and used as the models of WSD. The tested results show that the accuracies of WSD of over by the proposed approach are significantly higher than the ones by the state of the art system. Moreover, the proposed approach can visualize the attribute partial order structure of the dataset, which can be used for knowledge discovery.

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    Information & Contributors

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    Published In

    cover image Knowledge-Based Systems
    Knowledge-Based Systems  Volume 95, Issue C
    March 2016
    153 pages

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    Elsevier Science Publishers B. V.

    Netherlands

    Publication History

    Published: 01 March 2016

    Author Tags

    1. Attribute partial order structure diagram approach
    2. English preposition
    3. Word sense disambiguation

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    View all
    • (2023)Knowledge Discovery of Hospital Medical Technology Based on Partial Ordered Structure DiagramsInternational Journal of Software Science and Computational Intelligence10.4018/IJSSCI.32049915:1(1-16)Online publication date: 24-Mar-2023
    • (2023)A Filter-APOSD approach for feature selection and linguistic knowledge discoveryJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-22271544:3(4013-4028)Online publication date: 1-Jan-2023
    • (2023)Assessing American presidential candidates using principles of ontological engineering, word sense disambiguation, data envelope analysis and qualitative comparative analysisInternational Journal of Speech Technology10.1007/s10772-023-10043-y26:3(743-764)Online publication date: 1-Sep-2023
    • (2023)Association rule mining with fuzzy linguistic information based on attribute partial ordered structureSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09145-127:23(17447-17472)Online publication date: 20-Sep-2023
    • (2022)Investigation of features causing semantic mergers of English modal verbs by approach of attribute partial order diagramJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-22038843:5(6383-6393)Online publication date: 1-Jan-2022

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