本文根据《普通高中英语课程标准(2017年版2020年修订)》对学生读写能力的要求,基于学者们对图式理论的研究,指出图式理论在英语读写教学中具有重要的作用,提出了在阅读中帮助学生激活、构建、整合写作任务图式的设问原则,最后以译林出...本文根据《普通高中英语课程标准(2017年版2020年修订)》对学生读写能力的要求,基于学者们对图式理论的研究,指出图式理论在英语读写教学中具有重要的作用,提出了在阅读中帮助学生激活、构建、整合写作任务图式的设问原则,最后以译林出版社普通高中教科书《英语》选择性必修第一册Unit 4 Extended reading Li Bai and his romantic poetry为例,探讨高中英语读写教学中基于图式理论的设问研究,介绍了“创设语境,激活图式—研读语篇,构建图式—以读促写,整合图式”的教学模式。展开更多
Traditional Chinese text retrieval systems return a ranked list of documentsin response to a user''s request. While a ranked list of documents may be an appropriate response forthe user, frequently it is not. ...Traditional Chinese text retrieval systems return a ranked list of documentsin response to a user''s request. While a ranked list of documents may be an appropriate response forthe user, frequently it is not. Usually it would be better for the system to provide the answeritself instead of requiring the user to search for the answer in a set of documents. Since Chinesetext retrieval has just been developed lately, and due to various specific characteristics ofChinese language, the approaches to its retrieval are quite different from those studies andresearches proposed to deal with Western language. Thus, an architecture that augments existingsearch engines is developed to support Chinese natural language question answering. In this paper anew approach to building Chinese question-answering system is described, which is thegeneral-purpose, fully-automated Chinese quest ion-answering system available on the web. In theapproach, we attempt to represent Chinese text by its characteristics, and try to convert theChinese text into ERE (E: entity, R: relation) relation data lists, and then to answer the questionthrough ERE relation model. The system performs quite well giving the simplicity of the techniquesbeing utilized. Experimental results show that question-answering accuracy can be greatly improvedby analyzing more and more matching ERE relation data lists. Simple ERE relation data extractiontechniques work well in our system making it efficient to use with many backend retrieval engines.展开更多
文摘本文根据《普通高中英语课程标准(2017年版2020年修订)》对学生读写能力的要求,基于学者们对图式理论的研究,指出图式理论在英语读写教学中具有重要的作用,提出了在阅读中帮助学生激活、构建、整合写作任务图式的设问原则,最后以译林出版社普通高中教科书《英语》选择性必修第一册Unit 4 Extended reading Li Bai and his romantic poetry为例,探讨高中英语读写教学中基于图式理论的设问研究,介绍了“创设语境,激活图式—研读语篇,构建图式—以读促写,整合图式”的教学模式。
文摘Traditional Chinese text retrieval systems return a ranked list of documentsin response to a user''s request. While a ranked list of documents may be an appropriate response forthe user, frequently it is not. Usually it would be better for the system to provide the answeritself instead of requiring the user to search for the answer in a set of documents. Since Chinesetext retrieval has just been developed lately, and due to various specific characteristics ofChinese language, the approaches to its retrieval are quite different from those studies andresearches proposed to deal with Western language. Thus, an architecture that augments existingsearch engines is developed to support Chinese natural language question answering. In this paper anew approach to building Chinese question-answering system is described, which is thegeneral-purpose, fully-automated Chinese quest ion-answering system available on the web. In theapproach, we attempt to represent Chinese text by its characteristics, and try to convert theChinese text into ERE (E: entity, R: relation) relation data lists, and then to answer the questionthrough ERE relation model. The system performs quite well giving the simplicity of the techniquesbeing utilized. Experimental results show that question-answering accuracy can be greatly improvedby analyzing more and more matching ERE relation data lists. Simple ERE relation data extractiontechniques work well in our system making it efficient to use with many backend retrieval engines.