本文關(guān)鍵詞：面向移動(dòng)終端的人機(jī)對(duì)話(huà)系統(tǒng)　出處：《桂林電子科技大學(xué)》2017年碩士論文　論文類(lèi)型：學(xué)位論文

  更多相關(guān)文章： 人機(jī)對(duì)話(huà) 對(duì)話(huà)管理 人機(jī)交互 知識(shí)獲取 自我對(duì)話(huà)

【摘要】：人機(jī)對(duì)話(huà)技術(shù)是人機(jī)交互領(lǐng)域重要交互手段之一,在當(dāng)今智能化生活和產(chǎn)業(yè)領(lǐng)域具有廣泛應(yīng)用,例如智能家居、陪護(hù)機(jī)器人、智能客服、手機(jī)助手等。本文對(duì)人機(jī)對(duì)話(huà)中用戶(hù)教授意圖下的答案反饋方法進(jìn)行研究,旨在探索一種教授意圖下交流體驗(yàn)度更佳的答案反饋方法。首先,本文介紹了人機(jī)對(duì)話(huà)系統(tǒng)的研究意義及國(guó)內(nèi)外研究現(xiàn)狀;然后,對(duì)當(dāng)前比較流行的對(duì)話(huà)管理方法和人機(jī)對(duì)話(huà)相關(guān)技術(shù)進(jìn)行了綜述性介紹;最后,以用戶(hù)教授意圖下的答案反饋?zhàn)鳛檠芯繉?duì)象,提出了一種基于自我對(duì)話(huà)的面向用戶(hù)教授意圖答案反饋方法,并實(shí)現(xiàn)了一個(gè)面向移動(dòng)終端的人機(jī)對(duì)話(huà)系統(tǒng)。本文的工作主要有以下2個(gè)方面:(1)提出了一種基于自我對(duì)話(huà)的面向用戶(hù)教授意圖的答案反饋方法。傳統(tǒng)的對(duì)話(huà)系統(tǒng)在用戶(hù)教授意圖下,通常返回模棱兩可的答案,不利于對(duì)話(huà)的進(jìn)一步進(jìn)行。針對(duì)此問(wèn)題,在明確用戶(hù)教授意圖情況下,首先根據(jù)對(duì)話(huà)歷史選出當(dāng)前對(duì)話(huà)進(jìn)程對(duì)應(yīng)的問(wèn)題,根據(jù)匹配到的問(wèn)題,結(jié)合用戶(hù)教授答案及互聯(lián)網(wǎng)相關(guān)信息模擬多輪自我對(duì)話(huà);然后對(duì)自我對(duì)話(huà)獲取的多輪信息進(jìn)行過(guò)濾和摘要抽取;最終,將抽取得到的摘要作為系統(tǒng)對(duì)用戶(hù)教授意圖的反饋。實(shí)驗(yàn)結(jié)果表明該方法能夠在用戶(hù)教授意圖下學(xué)習(xí)用戶(hù)對(duì)話(huà)中的知識(shí),并在一定程度上提高了用戶(hù)對(duì)話(huà)的體驗(yàn)度。(2)采用WebService技術(shù),基于Android系統(tǒng)平臺(tái)實(shí)現(xiàn)了一個(gè)面向移動(dòng)終端的人機(jī)對(duì)話(huà)系統(tǒng)。該對(duì)話(huà)系統(tǒng)能夠記錄多輪對(duì)話(huà)歷史信息并根據(jù)對(duì)話(huà)歷史進(jìn)行多輪連續(xù)對(duì)話(huà);系統(tǒng)支持天氣、餐飲、景點(diǎn)、路線(xiàn)查詢(xún),同時(shí)也支持開(kāi)放式的自由聊天,能夠在與用戶(hù)對(duì)話(huà)過(guò)程中從網(wǎng)絡(luò)和用戶(hù)的對(duì)話(huà)中獲取新的知識(shí);同時(shí),系統(tǒng)基于WebService技術(shù)實(shí)現(xiàn),具有很強(qiáng)的移植性和跨平臺(tái)能力。
[Abstract]:The technology of man-machine dialogue is one of the important interactive means in the field of human-computer interaction. It has been widely used in the field of intelligent life and industry, such as smart home, escort robot, intelligent customer service. Mobile phone assistant and so on. This paper studies the answer feedback method of user's intention in man-machine dialogue, in order to explore a kind of answer feedback method with better communication experience under the professor's intention. First of all. This paper introduces the research significance of man-machine dialogue system and the current research situation at home and abroad. Then, the current popular dialogue management methods and man-machine dialogue related technologies are summarized. Finally, taking the answer feedback under the intention of the user professor as the research object, this paper proposes a method based on self-dialogue to feedback the answer to the user professor intention. A man-machine dialogue system for mobile terminal is implemented. The main work of this paper is as follows: 1). This paper presents an answer feedback method based on self-dialogue, which is oriented to the intention of the user professor. The traditional dialogue system is based on the intention of the user professor. The return of ambiguous answers is usually not conducive to the further development of the dialogue. In view of this problem, the current dialogue process is first selected according to the history of the dialogue in the case of the user's intention to teach. According to the matching questions, combined with the user to teach the answers and Internet related information simulation of multiple rounds of self-dialogue; Then the multi-round information obtained by self-dialogue is filtered and abstracted. Finally, the abstract is taken as the feedback of the user's intention. The experimental results show that the method can learn the knowledge of the user's dialogue under the user's intention. And to a certain extent, improve the user dialogue experience degree. 2) the use of WebService technology. Based on the Android platform, a man-machine dialogue system for mobile terminal is implemented. The dialogue system can record the historical information of multi-round dialogue and carry out multi-round continuous dialogue according to the history of dialogue. The system supports weather, catering, scenic spots, route inquiry, and open free chat, which can gain new knowledge from the network and the user's dialogue. At the same time, the system is based on WebService technology and has strong portability and cross-platform ability.
【學(xué)位授予單位】：桂林電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TP11

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本文編號(hào)：1388515