Nowadays,virtual human(VH) is becoming a hot research topic in virtualization.VH dialogue can be categorized as an application of natural language processing(NLP) technology,since it is relational to question and answ...Nowadays,virtual human(VH) is becoming a hot research topic in virtualization.VH dialogue can be categorized as an application of natural language processing(NLP) technology,since it is relational to question and answering(QA) technologies.In order to integrate these technologies,this paper reviews some important work on VH dialogue,and predicts some research points on the view of QA technologies.展开更多
Tag questions are a distinctive feature in spokenEnglish,but seldom used by the non-native speakers.Studies show that tags are employed by native speakersmainly to express their interactive and interpersonalmeaning.In...Tag questions are a distinctive feature in spokenEnglish,but seldom used by the non-native speakers.Studies show that tags are employed by native speakersmainly to express their interactive and interpersonalmeaning.In this paper,the writer explores the natureof tag questions,mainly their interactive and inter-personal functions in daily coversation.Suggestionsare made with regard to the teaching of tags in theclassroom.展开更多
Interaction is one of the essential features of language. Through interactive activities, the learner’s interlanguage is developed and ultimately they can achieve language acquisition. Making a contrast with the trad...Interaction is one of the essential features of language. Through interactive activities, the learner’s interlanguage is developed and ultimately they can achieve language acquisition. Making a contrast with the traditional way of English teaching, the essay explores the advantages of interactive language teaching, and suggests some strategies to promote interaction in second language classroom.展开更多
Question answering is an important problem that aims to deliver specific answers to questions posed by humans in natural language.How to efficiently identify the exact answer with respect to a given question has becom...Question answering is an important problem that aims to deliver specific answers to questions posed by humans in natural language.How to efficiently identify the exact answer with respect to a given question has become an active line of research.Previous approaches in factoid question answering tasks typically focus on modeling the semantic relevance or syntactic relationship between a given question and its corresponding answer.Most of these models suffer when a question contains very little content that is indicative of the answer.In this paper,we devise an architecture named the temporality-enhanced knowledge memory network(TE-KMN) and apply the model to a factoid question answering dataset from a trivia competition called quiz bowl.Unlike most of the existing approaches,our model encodes not only the content of questions and answers,but also the temporal cues in a sequence of ordered sentences which gradually remark the answer.Moreover,our model collaboratively uses external knowledge for a better understanding of a given question.The experimental results demonstrate that our method achieves better performance than several state-of-the-art methods.展开更多
基金National Nature Science Foundations of China(Nos.61170027,61202169,and 61301140)Tianjin"131"Creative Talents Training Project,China(the 3rd level)
文摘Nowadays,virtual human(VH) is becoming a hot research topic in virtualization.VH dialogue can be categorized as an application of natural language processing(NLP) technology,since it is relational to question and answering(QA) technologies.In order to integrate these technologies,this paper reviews some important work on VH dialogue,and predicts some research points on the view of QA technologies.
文摘Tag questions are a distinctive feature in spokenEnglish,but seldom used by the non-native speakers.Studies show that tags are employed by native speakersmainly to express their interactive and interpersonalmeaning.In this paper,the writer explores the natureof tag questions,mainly their interactive and inter-personal functions in daily coversation.Suggestionsare made with regard to the teaching of tags in theclassroom.
文摘Interaction is one of the essential features of language. Through interactive activities, the learner’s interlanguage is developed and ultimately they can achieve language acquisition. Making a contrast with the traditional way of English teaching, the essay explores the advantages of interactive language teaching, and suggests some strategies to promote interaction in second language classroom.
基金supported by the National Basic Research Program(973)of China(No.2015CB352302)the National Natural Science Foundation of China(Nos.61625107,U1611461,U1509206,and 61402403)+2 种基金the Key Program of Zhejiang Province,China(No.2015C01027)the Chinese Knowledge Center for Engineering Sciences and Technologythe Fundamental Research Funds for the Central Universities,China
文摘Question answering is an important problem that aims to deliver specific answers to questions posed by humans in natural language.How to efficiently identify the exact answer with respect to a given question has become an active line of research.Previous approaches in factoid question answering tasks typically focus on modeling the semantic relevance or syntactic relationship between a given question and its corresponding answer.Most of these models suffer when a question contains very little content that is indicative of the answer.In this paper,we devise an architecture named the temporality-enhanced knowledge memory network(TE-KMN) and apply the model to a factoid question answering dataset from a trivia competition called quiz bowl.Unlike most of the existing approaches,our model encodes not only the content of questions and answers,but also the temporal cues in a sequence of ordered sentences which gradually remark the answer.Moreover,our model collaboratively uses external knowledge for a better understanding of a given question.The experimental results demonstrate that our method achieves better performance than several state-of-the-art methods.
