TWI646528B - System for conducting dialogues - Google Patents

System for conducting dialogues Download PDF

Info

Publication number
TWI646528B
TWI646528B TW106115509A TW106115509A TWI646528B TW I646528 B TWI646528 B TW I646528B TW 106115509 A TW106115509 A TW 106115509A TW 106115509 A TW106115509 A TW 106115509A TW I646528 B TWI646528 B TW I646528B
Authority
TW
Taiwan
Prior art keywords
statement
dialog
server
information
conversation
Prior art date
Application number
TW106115509A
Other languages
Chinese (zh)
Other versions
TW201901659A (en
Inventor
張芸浩
Original Assignee
華南商業銀行股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 華南商業銀行股份有限公司 filed Critical 華南商業銀行股份有限公司
Priority to TW106115509A priority Critical patent/TWI646528B/en
Application granted granted Critical
Publication of TWI646528B publication Critical patent/TWI646528B/en
Publication of TW201901659A publication Critical patent/TW201901659A/en

Links

Abstract

本案涉及一種用以延續及導引對話的系統。主要係由第一伺服器與電子裝置通訊連接以提供一對話介面並獲取回饋資訊。而第二伺服器中,儲存有對話資訊、對話特徵集及關聯資訊。第三伺服器與第一及第二伺服器連接,其可依循一決策樹或根據回饋資訊以選取對話資訊中的一第一語句或一第二語句。第四伺服器與上述伺服器皆連結,其係於回饋資訊無法與決策樹對應時進行語意分析,並根據分析結果及關聯資訊選取一第三語句。而第一、第二、第三語句將與對話特徵集結合以提供至對話介面。This case involves a system for continuing and guiding conversations. The communication between the first server and the electronic device is mainly provided to provide a dialogue interface and obtain feedback information. The second server stores conversation information, a conversation feature set, and associated information. The third server is connected to the first server and the second server, and can follow a decision tree or according to the feedback information to select a first statement or a second statement in the dialog information. The fourth server is connected to the server, and the semantic analysis is performed when the feedback information cannot correspond to the decision tree, and a third statement is selected according to the analysis result and the related information. The first, second, and third statements will be combined with the conversation feature set to provide to the conversation interface.

Description

對話導引系統Dialogue guidance system

本案涉及一種應用系統,尤為一種用以延續及導引對話的系統。The case relates to an application system, in particular a system for continuing and guiding conversations.

伴隨著數位科技的風行,各產業不可避免地須將其服務延伸或轉移至各種電子裝置上。然而,若干產業的服務本質著重於人與人的溝通,若僅透過行動裝置提供一般性的服務或是難以閱讀的數據等等,服務狀況難免不甚理想。透過客服人員於網路上與客戶進行文字或語音交談或許能提供較完善的服務,然而,此種對實際人力資源造成負擔的服務方式,當不為產業所樂見。因此,如何提供一種高效的自動化客服系統,提供客戶近似真人在進行服務或推銷的感受,乃為本領域的重要研究議題。Along with the popularity of digital technology, industries inevitably have to extend or transfer their services to various electronic devices. However, the service nature of certain industries focuses on the communication between people. If the general service or the hard-to-read data is provided only through mobile devices, the service status is inevitably less than ideal. It may be possible to provide a more complete service by using customer service staff to conduct text or voice conversations with customers on the Internet. However, such a service that imposes a burden on actual human resources is not desirable for the industry. Therefore, how to provide an efficient automated customer service system and provide customers with a feeling of being a real person in service or promotion is an important research topic in the field.

本案內容之一目的是在提供一種對話導引系統,藉以改善先前技術的自動客戶服務系統之互動性及使用者體驗不佳之問題。One of the objectives of this case is to provide a dialogue guidance system to improve the interactivity and poor user experience of prior art automated customer service systems.

本案揭露一種對話導引系統,其包含:一第一伺服器,第一伺服器與一電子裝置通訊連接,以提供一對話介面顯示於電子裝置上,並可自對話介面獲取使用者反饋的一回饋資訊;一第二伺服器,用於儲存至少一對話資訊、至少一對話特徵集或至少一關聯資訊;一第三伺服器,第三伺服器分別與第一伺服器及第二伺服器連接,第三伺服器依循決策樹以選取至少一對話資訊中的至少一第一語句,或於決策樹中查找該回饋資訊以選取至少一對話資訊中的至少一第二語句,並將至少一第一語句或至少一第二語句結合至少一對話特徵集提供至對話介面;以及一第四伺服器,分別與第一伺服器、第二伺服器及第三伺服器連接,其中,當該回饋資訊無法對應決策樹時,第四伺服器對該回饋資訊進行語意分析,以根據語意分析之結果及至少一關聯資訊選取至少一對話資訊中的至少一第三語句,再將至少一第三語句結合至少一對話特徵集提供至對話介面。The present disclosure discloses a dialog guidance system, which includes: a first server, the first server is communicatively coupled to an electronic device to provide a dialog interface for displaying on the electronic device, and obtaining a user feedback from the dialog interface. a second server for storing at least one dialog information, at least one dialog feature set or at least one associated information; a third server, the third server being respectively connected to the first server and the second server And the third server follows the decision tree to select at least one first statement in the at least one conversation information, or searches the feedback tree for the feedback information to select at least one second statement in the at least one conversation information, and at least one a statement or at least one second statement is provided to the dialog interface in combination with the at least one dialog feature set; and a fourth server is respectively connected to the first server, the second server, and the third server, wherein the feedback information is When the decision tree is not available, the fourth server performs a semantic analysis on the feedback information to select at least one pair according to the result of the semantic analysis and the at least one associated information. Information at least a third statement, then at least a third statement in conjunction with the feature set provided at least a dialogue to dialogue interface.

因此,根據本案之技術內容,本案實施例藉由提供一種對話導引系統,藉以改善客戶服務系統的互動性及使用者體驗。Therefore, according to the technical content of the present case, the embodiment of the present invention improves the interaction and user experience of the customer service system by providing a dialogue guidance system.

以下將以圖式及詳細敘述清楚說明本案之精神,任何所屬技術領域中具有通常知識者在瞭解本案之實施例後,當可由本案所教示之技術,加以改變及修飾,其並不脫離本案之精神與範圍。The spirit of the present invention will be clearly described in the following drawings and detailed descriptions. Anyone having ordinary knowledge in the technical field will be able to change and modify the technology as taught by the present invention after learning the embodiments of the present invention, and does not deviate from the present case. Spirit and scope.

本文之用語只為描述特定實施例,而無意為本案之限制。單數形式如“一”、“這” 、“此” 、“本”以及“該”,如本文所用,同樣也包含複數形式。The terminology used herein is for the purpose of describing particular embodiments and is not intended to The singular forms "a", "the", "the", "the" and "the" are also used in the plural.

關於本文中所使用之『第一』、『第二』、…等,並非特別指稱次序或順位的意思,亦非用以限定本案,其僅為了區別以相同技術用語描述的元件或操作。The use of the terms "first", "second", ", etc." as used herein does not specifically mean the order or the order, and is not intended to limit the present invention. It is merely to distinguish between elements or operations described in the same technical terms.

關於本文中所使用之『耦接』或『連接』,均可指二或多個元件或裝置相互直接作實體接觸,或是相互間接作實體接觸,亦可指二或多個元件或裝置相互操作或動作。As used herein, "coupled" or "connected" may mean that two or more elements or devices are in direct physical contact with each other, or indirectly in physical contact with each other, or two or more elements or devices. Operation or action.

關於本文中所使用之『包含』、『包括』、『具有』、『含有』等等,均為開放性的用語,即意指包含但不限於。The terms "including", "including", "having", "containing", etc., as used in this document are all open terms, meaning, but not limited to.

關於本文中所使用之『及/或』,係包括所述事物的任一或全部組合。With respect to "and/or" as used herein, it is meant to include any or all combinations of the recited.

關於本文中所使用之方向用語,例如:上、下、左、右、前或後等,僅是參考附加圖式的方向。因此,使用的方向用語是用來說明並非用來限制本案。Regarding the directional terms used in this article, such as: up, down, left, right, front or back, etc., only refer to the direction of the additional schema. Therefore, the directional terminology used is used to illustrate that it is not intended to limit the case.

關於本文中所使用之用詞(terms),除有特別註明外,通常具有每個用詞使用在此領域中、在本案之內容中與特殊內容中的平常意義。某些用以描述本案之用詞將於下或在此說明書的別處討論,以提供本領域技術人員在有關本案之描述上額外的引導。The terms used in this document, unless otherwise noted, usually have the usual meaning of each term used in this field, in the context of the case, and in particular content. Certain terms used to describe the present invention are discussed below or elsewhere in this specification to provide additional guidance to those skilled in the art in the description of the present disclosure.

第1圖為本案一實施例的對話導引系統示意圖。在一實施例中,對話導引系統100包括網路伺服器110、對話導引伺服器120、資料庫伺服器130及對話分析伺服器140。網路伺服器110可為任何現存或可行之通訊伺服器,其係用於與網路連接以發送或接收資訊。對話導引伺服器120可為任何現存或可行之選項,其係用於執行程式或運算以產生處理結果。資料庫伺服器130亦可為任何現存或可行之儲存設施,例如唯讀記憶體(Read Only Memory, ROM)、階層式記憶體或資料庫管理伺服器等,主要用於較長時間的儲存資訊。對話分析伺服器140可為任何現存或可行之選項,其亦係用於執行程式或運算以產生處理結果。FIG. 1 is a schematic diagram of a dialog guiding system according to an embodiment of the present invention. In one embodiment, the dialog guidance system 100 includes a web server 110, a conversation guide server 120, a database server 130, and a dialog analysis server 140. Network server 110 can be any existing or feasible communication server that is used to connect to the network to send or receive information. The dialog guide server 120 can be any existing or feasible option for executing a program or operation to produce a processing result. The database server 130 can also be any existing or feasible storage facility, such as a read only memory (ROM), a hierarchical memory or a database management server, etc., and is mainly used for storing information for a long time. . The dialog analysis server 140 can be any existing or feasible option, which is also used to execute a program or operation to produce a processing result.

在本實施例中,更繪示有外部的一電子裝置200,電子裝置200可為任何現存或可行之計算機裝置,例如智慧型手機、平板電腦、桌上型電腦等。一般而言,電子裝置200具有顯示螢幕以顯示程式執行結果或接收之資訊予使用者瞭解。In this embodiment, an external electronic device 200 is further illustrated. The electronic device 200 can be any existing or feasible computer device, such as a smart phone, a tablet computer, a desktop computer, or the like. In general, the electronic device 200 has a display screen to display program execution results or received information for the user to understand.

在本實施例中,電子裝置200透過網路與對話導引系統100通訊連接,由電子裝置200傳來之資訊首先將經過網路伺服器110接收,再傳送至對話導引伺服器120或對話分析伺服器140。相對地,由對話導引伺服器120或對話分析伺服器140發送的資訊亦將經過網路伺服器110傳輸至網路,再被傳輸至電子裝置200。換言之,網路伺服器110係為對話導引系統100與外部裝置溝通的管道,網路伺服器110中可包含用以實施訊息加解密或其他網路管控機制的單元,以維護對話導引系統100的資訊安全。In this embodiment, the electronic device 200 is communicatively coupled to the dialog guidance system 100 via the network, and the information transmitted by the electronic device 200 is first received by the network server 110 and then transmitted to the conversation guide server 120 or the conversation. The server 140 is analyzed. In contrast, the information sent by the dialog guide server 120 or the dialog analysis server 140 will also be transmitted to the network via the network server 110 and then transmitted to the electronic device 200. In other words, the network server 110 is a conduit for the dialog guiding system 100 to communicate with external devices. The network server 110 may include a unit for implementing message encryption and decryption or other network management mechanisms to maintain the dialog guiding system. 100 information security.

在本實施例中,資料庫伺服器130中儲存有對話資訊、對話特徵集、關聯資訊或商品資訊。其中,對話資訊包含人類日常生活或專業活動中的問答語句、問答順序、語助詞、情境用語、專業用詞等,對話資訊亦可包含自其他程式或網路資訊擷取而來的特定訊息,例如:流行用語、次文化用語、天氣預報、新聞內容等。其中,對話特徵集則為若干組合,一組對話特徵集可用於呈現或建構一種虛擬人物的說話態樣或習慣,而這些對話特徵集塑造的虛擬人物各自具有大致相異的性別、特殊用語、情緒、語氣、口頭禪、推銷比重及對話延伸設定等等,例如:一組對話特徵集可能用於呈現一位親切而青澀的年輕女孩的說話態樣,而另一組對話特徵集則用於呈現一位老成且積極的年長男子的說話態樣,而推銷比重的設定可以決定虛擬人格進行推銷的種類以及頻繁程度。In this embodiment, the database server 130 stores conversation information, a conversation feature set, associated information, or product information. The dialogue information includes questions and answers in human daily life or professional activities, question and answer sequence, auxiliary words, situational terms, professional words, etc. The dialogue information may also include specific information extracted from other programs or network information. For example: popular terms, subculture terms, weather forecasts, news content, etc. The dialog feature set is a combination of a set of dialog feature sets that can be used to present or construct a vocal form or habit of a virtual character, and the avatars shaped by the set of dialog features each have substantially different genders, special terms, Emotion, tone, mantra, sales weight, and dialogue extension settings, for example, a set of dialogue features may be used to present the expression of a friendly and young girl, while another set of dialogue features is used Presenting the attitude of an old and active older man, and the setting of the proportion of sales can determine the type and frequency of virtual personality marketing.

在本實施例中,資料庫伺服器130中的關聯資訊則是用以表示人類自然語言中特定語句與從屬語句之間的關聯性,例如:「你好」這個語句的接續語句可能有「你好」、「嗨」或是「真巧」三種。而特定語句與複數從屬語句之間的關聯性更可以配合各自的權重,例如,上述例子中,「真巧」雖然有可能為「你好」這個語句的接續語句,然而,此種用法較不常見,故「真巧」之於「你好」的關聯性之權重可能低於「嗨」之於「你好」的關聯性。其中,資料庫伺服器130中的商品資訊包含有產業的各種服務及各種產品的價格、方案、購買資格、條件、詳細數據、試算表等等資訊。In this embodiment, the associated information in the database server 130 is used to indicate the association between a specific statement and a dependent statement in a human natural language. For example, the continuation statement of the "hello" statement may have "you". Good, "嗨" or "true". The correlation between a specific statement and a complex subordinate statement can be matched with the respective weights. For example, in the above example, "true" may be a continuation statement of the "hello" statement. However, this usage is less. Commonly, the weight of the relevance of "Hello" to "Hello" may be lower than the relevance of "嗨" to "Hello." The product information in the database server 130 includes various services of the industry and prices, plans, purchase qualifications, conditions, detailed data, trial balances and the like of various products.

在本實施例中,有一對話介面顯示於電子裝置200上,此對話介面是經網路伺服器110以提供至電子裝置200的。其中,對話介面係用以提供使用者互動式服務的窗口,對話導引系統100可以透過對話介面呈現資訊予使用者,對話導引系統100更可取得使用者與對話介面互動所產生的回饋資訊。此對話介面可為任何現存或可行選項之利用,例如以類似即時通或網路客服的對話視窗作為基底,再加上提升使用者經驗的若干選單或功能等等。In this embodiment, a dialog interface is displayed on the electronic device 200. The dialog interface is provided to the electronic device 200 via the network server 110. The dialog interface is used to provide a user interactive service window. The dialog guidance system 100 can present information to the user through the dialog interface, and the dialog guidance system 100 can obtain feedback information generated by the user interacting with the dialogue interface. . This dialog interface can be used for any existing or viable options, such as a dialog window similar to instant messaging or online customer service, plus a number of menus or features that enhance the user experience.

在本實施例中,對話導引伺服器120分別連接網路伺服器110以及資料庫伺服器130,以依循一決策樹以選取對話資訊中的至少一第一語句,或是於決策樹中查找該回饋資訊以選取對話資訊中的至少一第二語句,再將至少一第一語句或至少一第二語句提供至對話介面。In this embodiment, the dialog guidance server 120 is connected to the network server 110 and the database server 130 respectively to follow a decision tree to select at least one first statement in the dialog information, or to search in the decision tree. The feedback information is used to select at least one second statement in the conversation information, and then the at least one first statement or the at least one second statement is provided to the conversation interface.

在本實施例中,對話分析伺服器140分別連接網路伺服器110、對話導引伺服器120以及資料庫伺服器130。當使用者的回饋資訊無法對應決策樹時,對話分析伺服器140將對回饋資訊進行語意分析,並根據語意分析結果及關聯資訊選取對話資訊中的至少一第三語句,再將第三語句提供至對話介面。換言之,對話分析伺服器140可對回饋資訊做語意分析,再根據已知的若干語句集合之間具備的相關性或從屬性,進而選取不在決策樹中的可能回應語句。另外,於對話分析伺服器140進行語意分析後,其亦可將分析結果返回對話導引伺服器120以查找決策樹,進而選取對話資訊中的一第四語句,再將第四語句提供至對話介面。In the present embodiment, the dialog analysis server 140 is connected to the web server 110, the dialog guide server 120, and the database server 130, respectively. When the feedback information of the user cannot correspond to the decision tree, the dialog analysis server 140 performs semantic analysis on the feedback information, and selects at least one third statement in the dialog information according to the semantic analysis result and the associated information, and then provides the third statement. To the dialogue interface. In other words, the dialog analysis server 140 can perform a semantic analysis on the feedback information, and then select possible response statements that are not in the decision tree according to the correlation or the dependency between the known sets of statements. In addition, after the conversation analysis server 140 performs semantic analysis, it may also return the analysis result to the conversation guidance server 120 to search the decision tree, and then select a fourth statement in the dialog information, and then provide the fourth statement to the conversation. interface.

其中,本案的決策樹包含有若干節點,而各節點包含有若干分枝,各節點及其分枝係根據本案的對話資訊之間的語意主從性及關聯性展開。決策樹的一節點對應對話資訊其中至少一者,而該節點下的各分枝各自對應對話資訊其中至少一者。當對話介面初始化時,對話導引伺服器120可選擇一節點對應的對話資訊做為第一語句,該節點通常為決策樹的根,而若是欲接續對話介面中的上次對話,亦可於決策樹中搜尋類似上次對話之節點,以選擇該節點下分枝對應的對話資訊。若有一節點對應的對話資訊符合或類似使用者的回饋資訊,對話導引伺服器120可選取該節點下的各分枝其中之一對應的對話資訊做為至少一第二語句。The decision tree of the present case includes a plurality of nodes, and each node includes a plurality of branches, and each node and its branches are developed according to the semantic subordination and relevance between the dialogue information of the present case. A node of the decision tree corresponds to at least one of the dialog information, and each branch under the node corresponds to at least one of the dialog information. When the dialog interface is initialized, the dialog guidance server 120 may select the dialog information corresponding to a node as the first statement, and the node is usually the root of the decision tree, and if the last dialogue in the dialog interface is to be continued, The decision tree searches for a node similar to the last conversation to select the dialog information corresponding to the branch under the node. If the dialog information corresponding to a node matches or is similar to the user's feedback information, the dialog guidance server 120 may select the dialog information corresponding to one of the branches under the node as at least one second statement.

請見第2圖,其係為本案一實施例的決策樹示意圖。其主結構係為一種二元樹,而各節點包含有複數對話資訊可以選擇。其中,此決策樹的根部節點R為「問好語句」種類,包含之對話有「早安」、「午安」、「晚安」、「嗨」等對話資訊,而接續「問好語句」的可能有「回應問好語句」種類或「防備語句」種類,將分述如下。見根部節點的左分枝L1,其係「回應問好語句」,包含「你/妳早」、「早安」、「哈囉」等對話資訊。見根部節點的右分枝L2,其係「防備語句」,包含「有甚麼事」、「有點忙」等對話資訊。再來,接續「回應問好語句」種類的左次分枝L11可能有「開啟話題」種類,其包含「天氣不錯」、「心情如何」、「需要服務」等對話資訊。而接續「防備問句」種類的右次分枝L21可能為「迴避」種類,包含「沒問題」、「沒事」等對話資訊。本案之對話導引伺服器120即依透過類似此種決策樹的形式搜尋使用者的回饋資訊,進而選取用以回應該回饋資訊的對話資訊。Please refer to FIG. 2, which is a schematic diagram of a decision tree according to an embodiment of the present invention. Its main structure is a binary tree, and each node contains multiple dialog information to choose from. Among them, the root node R of this decision tree is a kind of "good question" type, and the dialogues include "good morning", "good afternoon", "good night", "嗨" and other dialogue information, and the "good question" may be followed. The type of "Respond to Hello" or the type of "Precaution Statement" will be described as follows. See the left branch L1 of the root node, which is a "response hello statement", including dialog information such as "you / 妳 early", "good morning", "ha 啰". See the right branch L2 of the root node, which is a "precaution statement", including dialog information such as "what is wrong" and "somewhat busy". In addition, the left sub-branch L11 of the "Respond to Hello" type may have a "Open Topic" category, which includes dialogue information such as "Good Weather," "How Mood," and "Needs Service". The right branch L21 of the type of "precautionary question" may be the "avoidance" type, including "no problem" and "nothing". The dialog guiding server 120 of the present case searches for the feedback information of the user in the form of a decision tree like this, and then selects the dialogue information for responding to the feedback information.

在本案的一實施例中,為了適應不同的語種或情境,可以提供一種以上的對應決策樹,以利系統做語句搜尋及選取。另外,由於各種語句於不同情境下可能具有共通性,故於本案的決策樹中,不同種類的節點可以包含相同的對話資訊,例如「早安」可以同時是一種主動問好的語句或是回應問好的語句,故其可以分別被包含於若干節點。本案之系統將透過對話進行的順序來判斷是否選擇決策樹不同節點中的同一語句,例如,先前對話中使用者的回饋資訊包含「早安」,而系統選取用以回應問好的「早安」雖與回應資訊屬於相同語句,然而兩者實際上係位於決策樹不同階層之節點中的「早安」語句。In an embodiment of the present invention, in order to adapt to different languages or situations, more than one corresponding decision tree may be provided to facilitate the system to perform sentence search and selection. In addition, since various statements may have commonality in different situations, different types of nodes may contain the same conversation information in the decision tree of the case. For example, "Good Morning" can be a kind of active greeting or a good response. The statement, so it can be included in several nodes. The system of this case will judge whether to select the same statement in different nodes of the decision tree through the order of the dialogue. For example, the feedback information of the user in the previous dialogue includes "Good Morning", and the system selects "Good Morning" to respond to the question. Although the response message belongs to the same statement, the two are actually "good morning" statements in nodes of different levels of the decision tree.

承第2圖,在該實施例中,對話導引伺服器120首先選擇根部節點R「問好語句」中的「早安」作為第一語句提供至對話介面以嘗試向使用者問安。隨後,使用者簡短回應了「你好」至對話介面,使用者回應的「你好」被做為回饋資訊經網路伺服器110被傳輸至對話導引伺服器120,對話導引伺服器120查找決策樹後發現回饋資訊能夠對應左分枝L1的「回應問好語句」,於是,對話導引伺服器120選擇左分枝L1下方左次分枝L11的「開啟話題」種類中的「心情如何」作為第二語句,以嘗試以第二語句回應使用者。In the second embodiment, in this embodiment, the dialog guidance server 120 first selects "Good Morning" in the root node R "Well Statement" as the first sentence to provide to the dialog interface to try to ask the user. Subsequently, the user briefly responds to "Hello" to the conversation interface, and the user's response "Hello" is transmitted as feedback information via the web server 110 to the conversation guide server 120, and the dialog guidance server 120 After finding the decision tree, it is found that the feedback information can correspond to the "response hello statement" of the left branch L1, and then the dialog guide server 120 selects "how to be in the "open topic" category of the left branch L11 below the left branch L1. As the second statement, try to respond to the user with the second statement.

然而,值得注意的是,本案的對話導引伺服器120不僅能將第一語句或第二語句提供至對話介面,更能結合對話特徵集以將第一語句或第二語句呈現至對話介面。如上所述,由於本案的對話特徵集可用於呈現或建構一種虛擬人物的對話態樣或習慣,各對話特徵集塑造的虛擬人物各自可能具有相異的性別、特殊用語、口頭禪等等,是故,若將第一語句或第二語句結合對話特徵集呈現於對話介面,即可將各語句透過對話特徵集的人物特色表現。透過對話特徵集的塑造的人物特色,可以提升系統回話與真人相似之程度,能降低使用者的防衛心理進而建立信賴關係。However, it is worth noting that the dialog guidance server 120 of the present invention can not only provide the first statement or the second statement to the dialog interface, but also can combine the dialog feature set to present the first statement or the second statement to the dialog interface. As described above, since the dialog feature set of the present case can be used to present or construct a dialogue character or habit of a virtual character, each virtual character created by each dialog feature set may have different genders, special terms, mantras, etc. If the first statement or the second statement is combined with the dialog feature set to be presented in the dialog interface, each statement can be represented by the character feature of the dialog feature set. Through the characteristics of the characters shaped by the dialogue feature set, the degree of similarity between the system and the real person can be improved, and the user's defense mentality can be lowered to establish a trust relationship.

綜上可知,本發明之實施例藉由提供一種對話導引系統,自動將選取的語句透過對話特徵集呈現至對話介面,藉以改善先前技術的服務互動性及使用者體驗不佳之問題。In summary, an embodiment of the present invention provides a dialog guidance system to automatically present selected statements to a dialog interface through a dialog feature set, thereby improving the prior art service interactivity and poor user experience.

請見第3圖,其係為本案一實施例的對話介面第一示意圖。於本實施例中,各語句將透過一第一對話特徵集呈現,該第一對話特徵集用於呈現性格如下的虛擬人物之說話態樣(名字:小桃,性別:女,個性:開朗,特殊用語:喜好使用流行用語及表情符號,話題延伸方式:以食物跟自身狀態作為延伸方式)。承第2圖之實施例,對話導引伺服器120首先選擇根部節點R中的「早安」作為第一語句,根據以上之設定,第一語句將透過該第一對話特徵集建構的特徵格式被修飾或表現於對話介面,顯示為「您早安呀:)」。Please refer to FIG. 3, which is a first schematic diagram of a dialog interface according to an embodiment of the present invention. In this embodiment, each statement will be presented through a first dialog feature set for presenting a avatar of a character having the following personality (name: Xiaotao, gender: female, personality: cheerful, special) Terminology: Like to use popular words and emoji, topic extension: use food and its own state as an extension). In the embodiment of FIG. 2, the dialog guidance server 120 first selects "Good Morning" in the root node R as the first statement. According to the above setting, the first sentence will construct the feature format through the first dialog feature set. It is decorated or expressed in the dialogue interface and is displayed as "You are good morning:).

在本實施例中,為了方便使用者回應,對話導引系統100將為使用者提供便捷的回應選項301與回應選項302,系統將自決策樹中表示「問好語句」的根部節點R的左分枝L1中的「回應問好語句」種類以及右分枝L2的「禮貌問句」種類中各選一語句,並以回應選項的方式提供於對話介面。對話導引系統100選擇了「妳好」作為預設的回應選項301,以及「有點忙」作為預設的回應選項302,再將回應選項301與302提供至對話介面,以利使用者點選,使用者若點選回應選項,其即被視為一種回饋資訊傳輸至對話導引系統100。另外,考量使用者或許無法自回應選項301與302中選擇實際想回應的語句,對話導引系統100更提供一自由輸入單元303至對話介面,供使用者直接輸入文字或符號,輸入自由輸入單元303之資訊將視為一種回饋資訊被傳輸至對話導引系統100。In this embodiment, in order to facilitate the user's response, the dialog guidance system 100 will provide the user with a convenient response option 301 and a response option 302, and the system will divide the left node of the root node R of the "good question" from the decision tree. Each of the "Response to Good Question" type in the branch L1 and the "Politeness Question" type in the right branch L2 are selected in the dialogue interface in the form of a response option. The dialog guidance system 100 selects "Yes" as the default response option 301, and "a bit busy" as the default response option 302, and then provides the response options 301 and 302 to the dialog interface for the user to click. If the user clicks on the response option, it is regarded as a kind of feedback information transmission to the dialogue guiding system 100. In addition, it is considered that the user may not be able to select the sentences that actually want to respond in response to the options 301 and 302. The dialog guiding system 100 further provides a free input unit 303 to the dialog interface for the user to directly input text or symbols and input the free input unit. The information of 303 will be treated as a kind of feedback information transmitted to the conversation guidance system 100.

再請見第4圖,其係為本案一實施例的對話介面第二示意圖。接續第3圖之實施例,於該情境中,使用者於對話介面點選第3圖中回應選項301,則回應選項301「妳好」將被作為回饋資訊傳回對話導引系統100,對話導引伺服器120隨即查找決策樹並確認有與「妳好」的語意匹配之節點,其將選擇節點下分枝中的「心情如何」作為第二語句。第二語句將透過該第一對話特徵集建構的特徵格式被表現於對話介面以進行回應,第二語句加上該第一特徵集的對話延伸設定後成為「小桃今天早餐享用了美味的漢堡,有種滿足的感覺。您今天的心情如何呢?」。依此方式,系統不再呈現扁平化的單一句子,而是具有較立體之個性的似人對話,將有助於提升使用者體驗。於此實施例中,同樣地,對話導引系統100亦將為使用者提供對應的回應選項,回應選項301將以「很不錯」取代,而回應選項302將以「不太好」取代,以利使用者快速回覆。Please refer to FIG. 4 again, which is a second schematic diagram of the dialog interface of an embodiment of the present invention. Following the embodiment of FIG. 3, in this scenario, the user selects the response option 301 in FIG. 3 in the dialog interface, and the response option 301 "妳好" will be sent back to the conversation guidance system 100 as feedback information. The bootstrap server 120 then looks up the decision tree and confirms that there is a node that matches the semantics of "good", which will select "how the mood" in the branch under the node as the second statement. The second sentence is expressed in the dialogue interface by the feature format constructed by the first dialog feature set, and the second sentence is added to the dialog set extension of the first feature set to become "Little Peach has a delicious burger for breakfast today. There is a feeling of satisfaction. What is your mood today?". In this way, the system no longer presents a flat single sentence, but a human-like dialogue with a more three-dimensional personality, which will help to enhance the user experience. In this embodiment, similarly, the dialog guidance system 100 will also provide the user with a corresponding response option, the response option 301 will be replaced by "very good", and the response option 302 will be replaced by "not very good". Users quickly respond.

再請見第5圖,其係為本案一實施例的對話介面第三示意圖。接續第4圖之實施例,於該情境中,對話介面上側提供有若干人物標籤,各個人物標籤提供使用者可切換不同對話特徵集之選項。換言之,使用者可透過切換人物標籤改變對話特徵集,使系統呈現於對話介面中的對話似乎改由其他虛擬人物所提供。於本實施例中,使用者不喜歡小桃的說話態樣,故切換了對話界介面上方的人物標籤,此後,各語句將透過一第二對話特徵集呈現,該第二對話特徵集用於呈現性格如下的虛擬人物之說話態樣(名字:阿正,性別:男,個性:嚴肅,特殊用語:敬語,話題延伸方式:以服務及商品銷售作為延伸方式)。Please refer to FIG. 5 again, which is a third schematic diagram of the dialog interface of an embodiment of the present invention. Following the embodiment of Fig. 4, in this scenario, a number of person tags are provided on the interface side of the dialog, and each character tag provides an option for the user to switch between different dialog feature sets. In other words, the user can change the dialog feature set by switching the character tag, so that the dialog presented by the system in the dialog interface seems to be provided by other virtual characters. In this embodiment, the user does not like the speech of the peach, so the character tag above the dialog interface is switched. Thereafter, each statement is presented through a second dialog feature set, and the second dialog feature set is used for rendering. The character of the avatar with the following personality (name: Azheng, gender: male, personality: serious, special language: honorific, topic extension: service and merchandising sales as an extension).

承第5圖之實施例,對話導引伺服器120首先選擇根部節點「早安」作為第一語句,根據以上之設定,第一語句將透過該第二對話特徵集建構的特徵格式被修飾或表現於對話介面,顯示為「您早,請叫我阿正」。同樣地,在此圖式中繪示之情境的稍早時間,對話導引系統100可能選擇了「你好」「有點忙」作為預設的回應選項301及302,以利使用者點選。對話導引系統100同樣地將提供了自由輸入單元303至對話介面,以利使用者自由輸入文字或符號。而在該時間點,使用者於對話介面點選回應選項301,回應選項301中的「你好」將被作為回饋資訊傳回對話導引系統100。In the embodiment of FIG. 5, the dialog guide server 120 first selects the root node "Good Morning" as the first statement. According to the above setting, the first sentence will be modified by the feature format constructed by the second dialog feature set or Expressed in the dialogue interface, it is displayed as "You are early, please call me Ah Zheng". Similarly, at a later time in the context depicted in this figure, the dialog guidance system 100 may select "Hello" and "Slightly Busy" as the default response options 301 and 302 for the user to click. The dialog guidance system 100 will likewise provide a free input unit 303 to the dialog interface for the user to freely enter text or symbols. At this point in time, the user clicks on the response option 301 in the dialog interface, and the "hello" in the response option 301 is sent back to the conversation guidance system 100 as feedback information.

在本實施例中,對話導引伺服器120隨即查找決策樹並確認有匹配之節點,其將選擇節點下分枝中的「需要服務」作為第二語句。第二語句將透過該第二對話特徵集建構的特徵格式被修飾或表現於對話介面以進行回應,由於該第二對話特徵集的對話延伸設定包含商品銷售,在提供對話至對話介面時,更有若干商品資訊自資料庫伺服器130被調用,第二語句與商品資訊經過第二特徵集的特徵格式後成為「很高興能為您服務。本公司這星期剛推出新的ETF股票,請問您有興趣瞭解嗎?」,即為此圖式中繪示情境的即時狀況。依此方式,對話導引系統100能呈現具有較立體之個性的似人對話。於此實施例中,同樣地,對話導引系統100可以為使用者提供「我有興趣」或「沒有興趣」兩語句選項作為預設的回應選項301及回應選項302,以利使用者快速回覆。對話導引系統100更提供一自由輸入單元303至對話介面,以供使用者直接輸入文字或符號,輸入自由輸入單元303之資訊被視為該回饋資訊的一種傳輸至對話導引系統100。In this embodiment, the dialog guidance server 120 then looks up the decision tree and confirms that there is a matching node, which will select "need to serve" in the branch under the node as the second statement. The second statement is modified or expressed in the dialog interface by the feature format constructed by the second dialog feature set, because the dialog extension setting of the second dialog feature set includes the merchandise sales, when providing the dialogue to the conversation interface, A number of product information is called from the database server 130, and the second statement and the product information pass the feature format of the second feature set and become "very happy to serve you. The company just launched a new ETF stock this week, may I ask you? Interested in understanding?", that is, the immediate situation of the situation is depicted in this diagram. In this manner, the dialog guidance system 100 can present a humanoid conversation with a more stereoscopic personality. In this embodiment, the dialog guiding system 100 can provide the user with the "I am interested" or "not interested" two-sentence option as the default response option 301 and the response option 302, so that the user can quickly respond. . The dialog guiding system 100 further provides a free input unit 303 to the dialog interface for the user to directly input text or symbols, and the information input to the free input unit 303 is regarded as a kind of transmission information to the dialog guiding system 100.

請見第6圖,其為本案一實施例的對話介面第四示意圖,根據此圖繪示,在一實施例中,使用者稍早在對話介面與系統進行一定程度的對話後,在自由輸入單元303中輸入「我想幫媽媽找長照保險方案」。而「我想幫媽媽找長照保險方案」此語句當然被視為該回饋資訊的一種,其將被傳輸至對話導引系統100。然而,此語句並不類似於對話導引伺服器120的決策樹的任何對話類別,故對話導引伺服器120無法找到對應的對話資訊。此時,將由對話分析伺服器140對「我想幫媽媽找長照保險方案」進行語意分析,例如,可先將該語句拆解為「我」、「媽媽」、「長照保險」等關鍵字。而「我」此語句可以返回對話導引伺服器120的決策樹中找到關於「回應使用者自稱」的種類,以利系統選擇用以回應的第四語句「您」。「媽媽」此語句則可能於關聯資訊中找到與其相關的第三語句「令堂」、「家母」。而「長照保險」此語句則可能於資料庫伺服器130的商品資訊中找到與其有關的「長照防癌險2.0」等資料。Please refer to FIG. 6 , which is a fourth schematic diagram of a dialog interface according to an embodiment of the present invention. According to the figure, in an embodiment, after a certain dialogue between the user and the system in the dialogue interface, the user inputs freely. In unit 303, enter "I want to help my mother find a long-term insurance plan." And "I want to help my mother find a long-term insurance plan" this statement is of course regarded as a kind of feedback information, which will be transmitted to the dialogue guiding system 100. However, this statement is not similar to any dialog category of the decision tree of the dialog guide server 120, so the dialog guide server 120 cannot find the corresponding dialog information. At this time, the dialogue analysis server 140 will analyze the semantics of "I want to help my mother find a long-term insurance plan". For example, the statement can be disassembled into "I", "Mom", "Long Life Insurance" and other key points. word. The "I" statement can return to the decision tree of the dialog guide server 120 to find the type of "respond to the user's self-proclaimed", so that the system selects the fourth sentence "you" to respond. The "Mom" statement may find the third sentence "Langtang" and "Home" related to it in the related information. The "Long Life Insurance" statement may find information such as "Long Photo Protection Cancer 2.0" related to the product information of the database server 130.

承上述實施例,對話導引系統100將根據上述獲取的第三語句、第四語句以及商品資料,以及使用者回饋資訊之適當語意進行綜合判斷,再透過目前被選擇的對話特徵集呈現至對話介面。例如,在上述實施例中,對話分析伺服器140將「媽媽」此語句與關聯資訊匹配時,找到相關的兩種第三語句「令堂」與「家母」,然而,「令堂」與「家母」兩語句之於「媽媽」此語句的相關性具有其各自的權重值。於此實施例中,先行於「媽媽」的主詞語句係為「我」,故系統將綜合兩語句結合之語意,判斷「令堂」具有較高權重,故選擇該語句。另外,由於「令堂」中的「令」與第四語句「您」同義,故最後回應句中亦不須再加入「您」此語句,以將贅字去除。According to the above embodiment, the dialog guidance system 100 comprehensively judges according to the third sentence, the fourth sentence, and the product data obtained above, and the appropriate semantics of the user feedback information, and then presents the conversation to the conversation through the currently selected conversation feature set. interface. For example, in the above embodiment, when the dialog analysis server 140 matches the "mother" statement with the related information, the two related third sentences "Yuantang" and "home" are found. However, "Langtang" and "home" are found. The relevance of the two statements to the "mother" statement has its own weight value. In this embodiment, the subject sentence of "Mom" first is "I", so the system combines the semantics of the two sentences to judge that "Langtang" has a higher weight, so the statement is selected. In addition, since the "order" in the "Lingtang" is synonymous with the fourth sentence "you", it is not necessary to add the "you" sentence in the final response sentence to remove the word.

根據上例,對應使用者輸入的「我想幫媽媽找長照保險方案」此語句,對話分析伺服器140進行語意分析並選擇回應語句後,可能以「沒問題!我們公司上禮拜推出全新的長照防癌險2.0,想請問一下令堂今年高壽?我將為您查詢令堂的年齡是否符合本方案的條件。」此語句提供至對話介面來回覆。同樣地,對話導引系統100選擇了「稍等一下」「有別的選擇嗎」作為預設的回應選項301及302,方便使用者透過點選方式回應。由此可見,以本案之系統進行的對話導引,顯然較以往之技術更加地人性化且高效率。According to the above example, corresponding to the user's input "I want to help my mother find a long-term insurance plan", the dialogue analysis server 140 performs semantic analysis and selects the response sentence, which may be "no problem! Our company launched a new service last week." Long-term anti-cancer 2.0, would you like to ask the court to live this year? I will check if the age of the court is in line with the conditions of this program." This statement is provided to the dialogue interface. Similarly, the dialog guidance system 100 selects "wait a moment" and "has a choice" as the default response options 301 and 302 for the user to respond by clicking. It can be seen that the dialogue guided by the system of this case is obviously more human and efficient than the previous technology.

由上述本案實施方式可知,應用本案具有下列優點。本案實施例藉由提供一種對話導引系統,透過決策樹以及各種對話特徵集的結合來提供對話介面,令使用者感受更近似於真人的對話,改善了以往服務互動性不佳的問題。本案實施例的對話導引系統更具備對話分析功能,當使用者的回饋無法與決策樹對應時,對使用者的回饋內容進行分析以獲取用以回答的語句。本案實施例更於對話介面提供了回應選項,方便使用者直接以選擇的方式進行回饋。本案實施例更於對話介面提供對話特徵集的切換,增加使用者於服務環境中的自由度。It can be seen from the above embodiments of the present invention that the application of the present invention has the following advantages. The embodiment of the present invention provides a dialogue guiding system, provides a dialogue interface through a combination of a decision tree and various dialog feature sets, so that the user feels a conversation more similar to a real person, and improves the problem of poor service interactivity in the past. The dialog guidance system of the embodiment of the present invention further has a dialog analysis function. When the feedback of the user cannot correspond to the decision tree, the feedback content of the user is analyzed to obtain a statement for answering. The embodiment of the present invention provides a response option to the dialog interface, so that the user can directly respond in a selected manner. The embodiment of the present invention provides a switching of the feature set of the dialogue interface to increase the degree of freedom of the user in the service environment.

雖然本案以實施例揭露如上,然其並非用以限定本案,任何熟習此技藝者,在不脫離本案之精神和範圍內,當可作各種之更動與潤飾,因此本案之保護範圍當視後附之申請專利範圍所界定者為準。Although the present invention is disclosed in the above embodiments, it is not intended to limit the present invention. Anyone skilled in the art can make various changes and refinements without departing from the spirit and scope of the present invention. Therefore, the scope of protection of this case is attached. The scope of the patent application is subject to change.

100:對話導引系統 110:網路伺服器 120:對話導引伺服器 130:資料庫伺服器 140:對話分析伺服器 200:電子裝置 301:回應選項 302:回應選項 303:自由輸入單元 R: 根部節點 L1: 左分枝 L2: 右分枝 L11: 左次分枝 L21: 右次分枝100: dialog guidance system 110: network server 120: dialog guidance server 130: database server 140: dialog analysis server 200: electronic device 301: response option 302: response option 303: free input unit R: Root node L1: Left branch L2: Right branch L11: Left branch L21: Right branch

第1圖為本案一實施例的對話導引系統示意圖; 第2圖為本案一實施例的決策樹示意圖; 第3圖為本案一實施例的對話介面第一示意圖; 第4圖為本案一實施例的對話介面第二示意圖; 第5圖為本案一實施例的對話介面第三示意圖;以及 第6圖為本案一實施例的對話介面第四示意圖。1 is a schematic diagram of a dialog guidance system according to an embodiment of the present invention; FIG. 2 is a schematic diagram of a decision tree according to an embodiment of the present invention; FIG. 3 is a first schematic diagram of a dialog interface according to an embodiment of the present invention; The second schematic diagram of the dialog interface of the example; FIG. 5 is a third schematic diagram of the dialog interface of an embodiment of the present invention; and FIG. 6 is a fourth schematic diagram of the dialog interface of an embodiment of the present invention.

Claims (8)

一種對話導引系統,包含:一第一伺服器,與一電子裝置通訊連接,提供一對話介面顯示於該電子裝置,並自該對話介面獲取一回饋資訊;一第二伺服器,儲存至少一對話資訊、至少一對話特徵集及至少一關聯資訊;一第三伺服器,分別連接該第一伺服器及該第二伺服器,依循一決策樹選取該至少一對話資訊中的至少一第一語句,或根據該回饋資訊查找該決策樹以選取該至少一對話資訊中的至少一第二語句;以及一第四伺服器,分別連接該第一伺服器、該第二伺服器及該第三伺服器,當該回饋資訊無法對應該決策樹時該第四伺服器對該回饋資訊進行語意分析,將該回饋資訊拆解為至少一關鍵字,根據分析結果及該至少一關聯資訊選取該至少一對話資訊中與該至少一關鍵字相關的至少一第三語句;其中該第一伺服器將該至少一第一語句、該至少一第二語句或該至少一第三語句將與該至少一對話特徵集結合以提供至該對話介面,其中該至少一對話特徵集各自包含相異的性別設定、情緒設定、特殊用語、語氣、口頭禪、推銷比重或對話延伸設定,其中於該至少一第一語句、該至少一第二語句、該至少一第三語句或該至少一第四語句被提供於該對話介面時,用於接續對話的至少二回應語句亦被提供於該對話介面供使用者選擇,當使用者選擇該至少二回應語句其中之一進行回應時,該其中之一回應語句被視為該回饋資訊的一種。 A dialog guiding system includes: a first server, communicatively coupled to an electronic device, providing a dialog interface displayed on the electronic device, and obtaining a feedback information from the dialogue interface; and a second server storing at least one The dialog information, the at least one dialog feature set, and the at least one associated information; a third server connected to the first server and the second server respectively, and selecting at least one of the at least one dialog information according to a decision tree a statement, or searching the decision tree according to the feedback information to select at least one second statement in the at least one dialog information; and a fourth server connecting the first server, the second server, and the third a server, when the feedback information cannot correspond to the decision tree, the fourth server performs a semantic analysis on the feedback information, and the feedback information is disassembled into at least one keyword, and the at least one associated information is selected according to the analysis result and the at least one associated information. At least one third statement associated with the at least one keyword in the dialog information; wherein the first server is to perform the at least one first statement, the at least one The statement or the at least one third statement will be combined with the at least one conversation feature set to provide to the conversation interface, wherein the at least one conversation feature set each includes a different gender setting, mood setting, special language, tone, mantra, marketing a weight or dialog extension setting, wherein at least two of the at least one first statement, the at least one second statement, the at least one third statement, or the at least one fourth statement are provided for the conversation interface The response statement is also provided in the dialog interface for the user to select. When the user selects one of the at least two response statements to respond, one of the response statements is regarded as one of the feedback information. 如請求項1所述之系統,其中該決策樹之節點與分枝係根據該至少一對話資訊之間的語意主從性及關聯性展開,該決策樹的各節點及節點下的各分枝各自對應該至少一對話資訊其中至少一者,若該節點對應之該至少一對話資訊符合該回饋資訊,該第三伺服器選取節點下的各分枝其中之一對應的該至少一對話資訊為該至少一第二語句。 The system of claim 1, wherein the node and the branch of the decision tree are developed according to semantic preference and relevance between the at least one dialog information, and each node of the decision tree and each branch under the node Each of the at least one conversation information corresponding to the at least one conversation information is corresponding to the feedback information, and the third server selects the at least one conversation information corresponding to one of the branches under the node as The at least one second statement. 如請求項1所述之系統,其中第二伺服器更儲存至少一商品資訊,當該回饋資訊、該至少一第一語句、該至少一第二語句或該至少一第三語句涉及該至少一商品資訊時,將該至少一商品資訊與該至少一對話特徵集結合以提供至該對話介面。 The system of claim 1, wherein the second server further stores at least one product information, wherein the feedback information, the at least one first statement, the at least one second statement, or the at least one third statement relates to the at least one The product information is combined with the at least one conversation feature set to provide to the conversation interface. 如請求項1所述之系統,其中該至少一關聯資訊係用於表示自然語言中特定語句與從屬語句的一關聯性,而該關聯性係透過至少一權重表示。 The system of claim 1, wherein the at least one associated information is used to represent an association between a particular statement and a dependent statement in the natural language, and the association is represented by at least one weight. 如請求項1所述之系統,其中於該第四伺服器進行語意分析後,當次語意分析涉及之語句關聯性將被存入該至少一關聯資訊中。 The system of claim 1, wherein after the semantic analysis of the fourth server, the statement relevance involved in the semantic analysis is stored in the at least one associated information. 如請求項1所述之系統,其中於該第四伺服器進行語意分析後,再將分析結果返回該第三伺服器以查找該決策樹,進而選取該至少一對話資訊中的至少一第四語句,再將該至少一第四語句與至少一對話特徵集結合以提供至該對話介面。 The system of claim 1, wherein after the semantic analysis is performed by the fourth server, the analysis result is returned to the third server to search the decision tree, and at least one of the at least one dialog information is selected. The statement combines the at least one fourth statement with the at least one conversation feature set to provide to the conversation interface. 如請求項1所述之系統,其中該第一伺服器更提供一自由輸入單元至該對話介面,供使用者輸入文字或符號,輸入該自由輸入單元之資訊被視為該回饋資訊的一種。 The system of claim 1, wherein the first server further provides a free input unit to the dialog interface for the user to input text or symbols, and the information input to the free input unit is regarded as one of the feedback information. 如請求項1所述之系統,其中該對話介面提供切換該至少一對話特徵集的選項。 The system of claim 1, wherein the dialog interface provides an option to switch the at least one conversation feature set.
TW106115509A 2017-05-10 2017-05-10 System for conducting dialogues TWI646528B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
TW106115509A TWI646528B (en) 2017-05-10 2017-05-10 System for conducting dialogues

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
TW106115509A TWI646528B (en) 2017-05-10 2017-05-10 System for conducting dialogues

Publications (2)

Publication Number Publication Date
TWI646528B true TWI646528B (en) 2019-01-01
TW201901659A TW201901659A (en) 2019-01-01

Family

ID=65803394

Family Applications (1)

Application Number Title Priority Date Filing Date
TW106115509A TWI646528B (en) 2017-05-10 2017-05-10 System for conducting dialogues

Country Status (1)

Country Link
TW (1) TWI646528B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090234878A1 (en) * 1994-11-29 2009-09-17 Pinpoint, Incorporated System for customized electronic identification of desirable objects
CN102868695A (en) * 2012-09-18 2013-01-09 天格科技(杭州)有限公司 Conversation tree-based intelligent online customer service method and system
US20160203566A1 (en) * 2015-01-09 2016-07-14 Xerox Corporation System and method for labeling messages from customer-agent interactions on social media to identify an issue and a response

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090234878A1 (en) * 1994-11-29 2009-09-17 Pinpoint, Incorporated System for customized electronic identification of desirable objects
CN102868695A (en) * 2012-09-18 2013-01-09 天格科技(杭州)有限公司 Conversation tree-based intelligent online customer service method and system
US20160203566A1 (en) * 2015-01-09 2016-07-14 Xerox Corporation System and method for labeling messages from customer-agent interactions on social media to identify an issue and a response

Also Published As

Publication number Publication date
TW201901659A (en) 2019-01-01

Similar Documents

Publication Publication Date Title
US20220006761A1 (en) Systems and processes for operating and training a text-based chatbot
US10832008B2 (en) Computerized system and method for automatically transforming and providing domain specific chatbot responses
US10242387B2 (en) Managing a set of offers using a dialogue
Raj et al. Building chatbots with Python
US20180150749A1 (en) Using various artificial intelligence entities as advertising mediums
US10552885B2 (en) Systems and methods for acquiring structured inputs in customer interactions
US20140122619A1 (en) Chatbot system and method with interactive chat log
Chen et al. Consumers’ perception on artificial intelligence applications in marketing communication
US20170169476A1 (en) System for assisting in marketing
Lopatovska et al. User recommendations for intelligent personal assistants
JP7096172B2 (en) Devices, programs and methods for generating dialogue scenarios, including utterances according to character.
KR102140253B1 (en) Method for providing customized public knowledge information based on chatbot communication and System of the Same
US20230107213A1 (en) Method of generating virtual character, electronic device, and storage medium
CN109313649A (en) Voice-based knowledge sharing application for chat robots
CN116304007A (en) Information recommendation method and device, storage medium and electronic equipment
US11037546B2 (en) Nudging neural conversational model with domain knowledge
TWM548342U (en) System for conducting dialogues
TWI646528B (en) System for conducting dialogues
CN111787042A (en) Method and device for pushing information
Rzepka et al. Is it a Match? Examining the Fit Between Conversational Interaction Modalities and Task Characteristics.
US11836204B1 (en) Social collaboration platform for facilitating recommendations
CN111046151B (en) Message processing method and device
TWI806000B (en) Dialogue method and system based on complex task analysis
US11769175B2 (en) System for assisting in marketing
Vaddadi et al. Developing Chatbot Wrapper for Online Shopping: A Case Study of Using Generic Mobile Messaging System