{"title":"A hybrid approach for standardized Dictionary-based knowledge extraction for Arabic morpho-semantic retrieval","authors":"Nadia Soudani, Ibrahim Bounhas, Y. Slimani","doi":"10.1109/ASAR.2018.8480178","DOIUrl":null,"url":null,"abstract":"We propose in this paper to exploit Arabic dictionaries to enhance Arabic Information Retrieval (IR). We use standardized LMF dictionaries. We first put forward to mine such dictionaries and to represent them into graph-based representation. This graph will also be mined with a hybrid approach that combines both linguistic and statistical techniques to extract useful knowledge for IR. We study how extracted knowledge from such resource and added to the initial queries can attentively affect the retrieval process and results. Several query expansion strategies are carried based on morphological, semantic and morpho-semantic queries terms relations.","PeriodicalId":165564,"journal":{"name":"2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAR.2018.8480178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We propose in this paper to exploit Arabic dictionaries to enhance Arabic Information Retrieval (IR). We use standardized LMF dictionaries. We first put forward to mine such dictionaries and to represent them into graph-based representation. This graph will also be mined with a hybrid approach that combines both linguistic and statistical techniques to extract useful knowledge for IR. We study how extracted knowledge from such resource and added to the initial queries can attentively affect the retrieval process and results. Several query expansion strategies are carried based on morphological, semantic and morpho-semantic queries terms relations.