Abstract
In this paper, we provide a performance analysis of the question and describe their different tasks in Arabic language. Regardless of the approaches being studied this language, the first step is to analyze the question for extracting all the information exploited by the processes of searching for documents and selecting relevant passages. Question analysis shows that there are few studies provide semantic and logic-inference based-approaches in the Arabic. After extracting the keywords, determining the declarative form, generating the focus and the expected answer type, we transform the questions into semantic representations via the conceptual graph formalism and into logic representations using a transformation algorithm. This analysis is classified into tree modules: The first one emphasizes a preprocessing of the question; the second one generates a question transformation; and the third one provides a linguistic analysis. The goal of the first module is to extract the main features from each question (list of keywords, focus and expected answer type). The focus and the keywords are identified to retrieve the short and relevant answers located in small passages containing the accurate answer. The second module allows transforming the question into a declarative form. The third module makes some linguistic analyses that are used in the graph construction and logic representation phases. Lastly, we assess the process of analysis with examples of 5 types of questions collected in our corpus.
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Bakari, W., Bellot, P., Neji, M. (2018). Generating Semantic and Logic Meaning Representations When Analyzing the Arabic Natural Questions. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_70
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DOI: https://doi.org/10.1007/978-3-319-76348-4_70
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