该论文重点运用语用学的主要理论,言语行为、合作原则、礼貌原则等,对英语作为外语的课堂问答话语进行了动态研究,通过对优秀教师英语精读课的观察与分析,提出大学英语课堂提问策略,并给出课堂教学提问实例,为广大英语教师提供理论和实...该论文重点运用语用学的主要理论,言语行为、合作原则、礼貌原则等,对英语作为外语的课堂问答话语进行了动态研究,通过对优秀教师英语精读课的观察与分析,提出大学英语课堂提问策略,并给出课堂教学提问实例,为广大英语教师提供理论和实践借鉴。课堂教学的言语互动主要体现在师生言语互动上,而这种言语互动又往往通过问与答的形式来完成。提问是教学互动,有其独特的功能和具体特征。"English is both the vehicle and the object of instruction"(Seedhouse,P.2005:184)and"question-answer is a basic interactive structure"(Coulthard,1985:7),提问可以提高学生的课堂参与度,培养学生学习英语的动机,为师生带来大量的益处。展开更多
For the complex questions of Chinese question answering system, we propose an answer extraction method with discourse structure feature combination. This method uses the relevance of questions and answers to learn to ...For the complex questions of Chinese question answering system, we propose an answer extraction method with discourse structure feature combination. This method uses the relevance of questions and answers to learn to rank the answers. Firstly, the method analyses questions to generate the query string, and then submits the query string to search engines to retrieve relevant documents. Sec- ondly, the method makes retrieved documents seg- mentation and identifies the most relevant candidate answers, in addition, it uses the rhetorical relations of rhetorical structure theory to analyze the relationship to determine the inherent relationship between para- graphs or sentences and generate the answer candi- date paragraphs or sentences. Thirdly, we construct the answer ranking model,, and extract five feature groups and adopt Ranking Support Vector Machine （SVM） algorithm to train ranking model. Finally, it re-ranks the answers with the training model and fred the optimal answers. Experiments show that the proposed method combined with discourse structure features can effectively improve the answer extrac- ting accuracy and the quality of non-factoid an- swers. The Mean Reciprocal Rank （MRR） of the an- swer extraction reaches 69.53%.展开更多
文摘该论文重点运用语用学的主要理论,言语行为、合作原则、礼貌原则等,对英语作为外语的课堂问答话语进行了动态研究,通过对优秀教师英语精读课的观察与分析,提出大学英语课堂提问策略,并给出课堂教学提问实例,为广大英语教师提供理论和实践借鉴。课堂教学的言语互动主要体现在师生言语互动上,而这种言语互动又往往通过问与答的形式来完成。提问是教学互动,有其独特的功能和具体特征。"English is both the vehicle and the object of instruction"(Seedhouse,P.2005:184)and"question-answer is a basic interactive structure"(Coulthard,1985:7),提问可以提高学生的课堂参与度,培养学生学习英语的动机,为师生带来大量的益处。
基金supported by the National Nature Science Foundation of China under Grants No.60863011,No.61175068,No.61100205,No.60873001the Fundamental Research Funds for the Central Universities under Grant No.2009RC0212+1 种基金the National Innovation Fund for Technology based Firms under Grant No.11C26215305905the Open Fund of Software Engineering Key Laboratory of Yunnan Province under Grant No.2011SE14
文摘For the complex questions of Chinese question answering system, we propose an answer extraction method with discourse structure feature combination. This method uses the relevance of questions and answers to learn to rank the answers. Firstly, the method analyses questions to generate the query string, and then submits the query string to search engines to retrieve relevant documents. Sec- ondly, the method makes retrieved documents seg- mentation and identifies the most relevant candidate answers, in addition, it uses the rhetorical relations of rhetorical structure theory to analyze the relationship to determine the inherent relationship between para- graphs or sentences and generate the answer candi- date paragraphs or sentences. Thirdly, we construct the answer ranking model,, and extract five feature groups and adopt Ranking Support Vector Machine （SVM） algorithm to train ranking model. Finally, it re-ranks the answers with the training model and fred the optimal answers. Experiments show that the proposed method combined with discourse structure features can effectively improve the answer extrac- ting accuracy and the quality of non-factoid an- swers. The Mean Reciprocal Rank （MRR） of the an- swer extraction reaches 69.53%.
