{"title":"对阿拉伯语长句子的依赖解析器进行评估","authors":"Maytham Alabbas, A. Ramsay","doi":"10.1109/STAIR.2011.5995796","DOIUrl":null,"url":null,"abstract":"The aim of the work reported here is to investigate the effectiveness of dependency parsing for the analysis of Arabic. Arabic has a number of characteristics, described below, which make parsing it particularly challenging. The results of our investigations suggest that dependency parsing can produce reasonably accurate results. We show in particular that combining the output of two different parsers can produce more accurate results than either parser produces by itself.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Evaluation of dependency parsers for long Arabic sentences\",\"authors\":\"Maytham Alabbas, A. Ramsay\",\"doi\":\"10.1109/STAIR.2011.5995796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of the work reported here is to investigate the effectiveness of dependency parsing for the analysis of Arabic. Arabic has a number of characteristics, described below, which make parsing it particularly challenging. The results of our investigations suggest that dependency parsing can produce reasonably accurate results. We show in particular that combining the output of two different parsers can produce more accurate results than either parser produces by itself.\",\"PeriodicalId\":376671,\"journal\":{\"name\":\"2011 International Conference on Semantic Technology and Information Retrieval\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Semantic Technology and Information Retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STAIR.2011.5995796\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Semantic Technology and Information Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STAIR.2011.5995796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of dependency parsers for long Arabic sentences
The aim of the work reported here is to investigate the effectiveness of dependency parsing for the analysis of Arabic. Arabic has a number of characteristics, described below, which make parsing it particularly challenging. The results of our investigations suggest that dependency parsing can produce reasonably accurate results. We show in particular that combining the output of two different parsers can produce more accurate results than either parser produces by itself.
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