{"title":"抽象层次在问答系统中的应用","authors":"Bei Xu, Xiaodong Wang, H. Zhuge","doi":"10.1109/SKG.2018.00040","DOIUrl":null,"url":null,"abstract":"Traditional question answering systems extract answers in terms of the relevance between answer and question. However, when there are multiple relevant answers to a question, people usually use other dimensions besides relevance to select answers. Abstraction level is a frequently used dimension to distinguish general answer and specific answer. Previous question answering systems seldom consider the dimension. This paper proposes a way to calculate the abstraction level of answer. Experiments show that abstraction level can improve question answering in certain situations.","PeriodicalId":265760,"journal":{"name":"2018 14th International Conference on Semantics, Knowledge and Grids (SKG)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Abstraction Level in Question Answering System\",\"authors\":\"Bei Xu, Xiaodong Wang, H. Zhuge\",\"doi\":\"10.1109/SKG.2018.00040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional question answering systems extract answers in terms of the relevance between answer and question. However, when there are multiple relevant answers to a question, people usually use other dimensions besides relevance to select answers. Abstraction level is a frequently used dimension to distinguish general answer and specific answer. Previous question answering systems seldom consider the dimension. This paper proposes a way to calculate the abstraction level of answer. Experiments show that abstraction level can improve question answering in certain situations.\",\"PeriodicalId\":265760,\"journal\":{\"name\":\"2018 14th International Conference on Semantics, Knowledge and Grids (SKG)\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 14th International Conference on Semantics, Knowledge and Grids (SKG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SKG.2018.00040\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 14th International Conference on Semantics, Knowledge and Grids (SKG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SKG.2018.00040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Abstraction Level in Question Answering System
Traditional question answering systems extract answers in terms of the relevance between answer and question. However, when there are multiple relevant answers to a question, people usually use other dimensions besides relevance to select answers. Abstraction level is a frequently used dimension to distinguish general answer and specific answer. Previous question answering systems seldom consider the dimension. This paper proposes a way to calculate the abstraction level of answer. Experiments show that abstraction level can improve question answering in certain situations.