Abstract: The present disclosure relates to a method, device and computer readable storage medium for presenting an emotion. The method for presenting the emotion includes obtaining a first emotion presentation instruction, wherein the first emotion presentation instruction includes at least one first emotion presentation modality and at least one emotional style, and the at least one first emotion presentation modality includes a text emotion presentation modality; and presenting an emotion corresponding to one or more of the at least one emotional style according to each of the at least one first emotion presentation modality. The present disclosure can realize text-based multi-modal emotion presentation modes, and thus user experience can be improved.

Abstract: Embodiments of the present invention provide an intelligent interactive method and apparatus, a computer device and a computer readable storage medium, which solves problems that a deep intention of a user message cannot be analyzed in an intelligent interactive manner in the prior art and humanized interactive experiences cannot be provided. The intelligent interactive method includes: obtaining an emotion recognition result according to a user message, where the user message includes at least a user voice message; performing an intention analysis according to a text content of the user voice message to obtain corresponding basic intention information; and determining a corresponding interactive instruction according to the emotion recognition result and the basic intention information.

Abstract: An abstract semantic recommending device, comprising an abstract semantic expression obtaining unit to obtain a plurality of abstract semantic expressions; a receiving unit to receive an initial request message; a word segmentation unit to perform a word segmentation process on the initial request message to obtain one or more single words; a part-of-speech tagging unit to perform a part-of-speech tagging process on at least one of the one or more single words to obtain its part-of-speech information; a wordclass determination unit to perform a wordclass determination process on at least one of the one or more single words to obtain its wordclass information; a searching unit to acquire an abstract semantic candidate set relevant to the initial request message; and a matching unit to derive one or more abstract semantic expressions by performing a matching process on the several abstract semantic expressions in the abstract semantic candidate set.

Abstract: The present disclosure includes a device for constructing an intelligent knowledge base. The device comprises: a preset knowledge subject obtaining unit to obtain from a subject domain database preset knowledge subjects each comprising a standard question and an extended question; a receiving unit to receive an initial request message; a calculation unit to perform a semantic similarity calculation on the initial request message and the preset knowledge subjects to obtain a plurality of semantic similarity calculation results; a determination unit to determine whether a largest semantic similarity calculation result is greater than a similarity threshold value; and a storing unit to: when the largest semantic similarity calculation result is greater than the similarity threshold value, store into the intelligent knowledge base the initial request message, and a standard question and an extended question of a preset knowledge subject corresponding to the largest semantic similarity calculation result.

Abstract: Embodiments of the present invention provide an intelligent interaction method and an intelligent interaction system which are directed to resolve the problem that the conventional intelligent interaction methods are too simple and the interaction effect is not good since the response information is based on the acquired intention information only. The intelligent interaction method comprises: acquiring current request information from a user and user static information corresponding to the user; performing intention analysis on the current request information to acquire intention information corresponding to the current request information; acquiring interaction background information corresponding to the user static information; and acquiring response information according to the intention information and the interaction background information and sending the response information to the user.

Abstract: The present disclosure includes an affective interaction apparatus, comprising an affective interaction computing module including a user intention computing processor to receive emotion-related data and an emotion state of a user; and identify a user intention based on the emotion-related data and the emotion state, the user intention including an affective intention and/or an interaction intention, the affective intention corresponding to the emotion state and including an affective need of the emotion state, the interaction intention including one or more transaction intentions.

Abstract: The present disclosure includes an intelligent customer service system comprising a customer end, a customer service robot, and a human customer-service end. The customer service robot is configured to: receive a session message from the customer end; identify content of the session message; determine whether it is capable of processing the session message based on the identified content; if so, obtain an answer message matching the identified content from pre-stored service resource and transmit the answer message to the customer end; or otherwise, set its state to a session suspended state, obtain a comforting answer message matching the session message from the pre-stored service resource, send the comforting answer message to the customer end, and transmit to the human customer-service end the session message that the customer service robot is not capable of processing or the content of which the customer service robot cannot identify.

Abstract: A device for constructing an intelligent knowledge base, comprising an abstract semantic expression obtaining unit to obtain a plurality of abstract semantic expressions from an abstract semantic database, wherein each of the plurality of abstract semantic expressions comprises a semantic-lacking element; a receiving unit to receive an initial request message; an abstract semantic recommending module to obtain abstract semantic expressions corresponding to the initial request message by performing an abstract semantic recommending process on the initial request message based on the plurality of abstract semantic expressions; a filling unit to extract from the initial request message an element corresponding to a semantic-lacking element of the obtained abstract semantic expressions, and to fill the extracted element into the semantic-lacking element to obtain specific semantic expressions corresponding to the initial request message; and a storing unit to store the initial request message and the specific sem

Abstract: According to a specific implementation manner that a questioning and answering system including a transaction node interacts with a user in the embodiments of the present invention, a quick call to an existing function or service can be realized, and by acquiring modification information for a set system component in the questioning and answering system, and correspondingly updating the questioning and answering system according to the modification information, the existing questioning and answering method based on a questioning and answering system, the existing method for generating the questioning and answering system, and the existing method for modifying the questioning and answering system are optimized, thereby improving efficiency and accuracy of questioning and answering, and improving generation efficiency and modification efficiency of the questioning and answering system.

Abstract: The present invention provides a method for generating a semantic expression for a standard question in a knowledge base.

Abstract: The present disclosure relates to a method, device and computer readable storage medium for presenting an emotion. The method for presenting the emotion includes obtaining a first emotion presentation instruction, wherein the first emotion presentation instruction includes at least one first emotion presentation modality and at least one emotional style, and the at least one first emotion presentation modality includes a text emotion presentation modality; and presenting an emotion corresponding to one or more of the at least one emotional style according to each of the at least one first emotion presentation modality. The present disclosure can realize text-based multi-modal emotion presentation modes, and thus user experience can be improved.

Abstract: A method for providing a voice feedback information to a user in a call is provided, including: acquiring a text information obtained by conducting a voice recognition on a voice information of the user; identifying a menu item to be jumped to according to the text information and multiple menu items of other party in the call, where the menu item to be jumped to is away from a present menu item by at least two levels; jumping to the identified menu item; where identifying the menu item to be jumped to includes: selecting a portion of menu items having a higher matching degree with the text information from the multiple menu items according to a predetermined information; identifying a menu item to be jumped to from the selected portion of menu items or a remaining portion of menu items.

Abstract: A video tracking method comprises: determining a first tracking target in a video, and performing a video tracking process on the first tracking target based on the video; performing area overlap degree calculation on the first tracking target in a current image and the first tracking target in a past image during the video tracking process, the past image being an image obtained when the first tracking target was tracked last time in the video tracking process; extracting respective feature information of feature points of the first tracking target in the video during the video tracking process on the first tracking target; matching the extracted respective feature information of the feature points of the first tracking target in the current image with the respective feature information of corresponding feature points of the first tracking target in the past image if a result of the area overlap degree calculation is less than or equal to a preset threshold; and continuing the video tracking process on the f

Abstract: Method, device and equipment for acquiring answer information are provided. The method includes: acquiring a text sequence to be processed from a user equipment; dividing the text sequence into a plurality of word segments and obtaining semantic information of at least one of the plurality of word segments; performing a search in at least one of the plurality of sub-databases for matching the semantic information, successively from high to low in priority of the sub-databases, till an initial answer information matching the semantic information is found; and providing an established answer information corresponding to the initial answer information to the user equipment. Based on better semantic understanding to the text sequence, more accurate answer information may be provided.

Abstract: A device for constructing an intelligent knowledge base, comprising an abstract semantic expression obtaining unit to obtain a plurality of abstract semantic expressions from an abstract semantic database, wherein each of the plurality of abstract semantic expressions comprises a semantic-lacking element; a receiving unit to receive an initial request message; an abstract semantic recommending module to obtain abstract semantic expressions corresponding to the initial request message by performing an abstract semantic recommending process on the initial request message based on the plurality of abstract semantic expressions; a filling unit to extract from the initial request message an element corresponding to a semantic-lacking element of the obtained abstract semantic expressions, and to fill the extracted element into the semantic-lacking element to obtain specific semantic expressions corresponding to the initial request message; and a storing unit to store the initial request message and the specific sem

Abstract: The present disclosure includes a device for constructing an intelligent knowledge base. The device comprises: a preset knowledge subject obtaining unit to obtain from a subject domain database preset knowledge subjects each comprising a standard question and an extended question; a receiving unit to receive an initial request message; a calculation unit to perform a semantic similarity calculation on the initial request message and the preset knowledge subjects to obtain a plurality of semantic similarity calculation results; a determination unit to determine whether a largest semantic similarity calculation result is greater than a similarity threshold value; and a storing unit to: when the largest semantic similarity calculation result is greater than the similarity threshold value, store into the intelligent knowledge base the initial request message, and a standard question and an extended question of a preset knowledge subject corresponding to the largest semantic similarity calculation result.

Abstract: An abstract semantic recommending device, comprising an abstract semantic expression obtaining unit to obtain a plurality of abstract semantic expressions; a receiving unit to receive an initial request message; a word segmentation unit to perform a word segmentation process on the initial request message to obtain one or more single words; a part-of-speech tagging unit to perform a part-of-speech tagging process on at least one of the one or more single words to obtain its part-of-speech information; a wordclass determination unit to perform a wordclass determination process on at least one of the one or more single words to obtain its wordclass information; a searching unit to acquire an abstract semantic candidate set relevant to the initial request message; and a matching unit to derive one or more abstract semantic expressions by performing a matching process on the several abstract semantic expressions in the abstract semantic candidate set.

Abstract: The present disclosure includes a method for constructing an intelligent knowledge base.

Abstract: A method for providing a voice feedback information to a user in a call is provided, including: acquiring a text information obtained by conducting a voice recognition on a voice information of the user; identifying a menu item to be jumped to according to the text information and multiple menu items of other party in the call, where the menu item to be jumped to is away from a present menu item by at least two levels; jumping to the identified menu item; where identifying the menu item to be jumped to includes: selecting a portion of menu items having a higher matching degree with the text information from the multiple menu items according to a predetermined information; identifying a menu item to be jumped to from the selected portion of menu items or a remaining portion of menu items.

Abstract: The present disclosure includes an intelligent customer service system comprising a customer end, a customer service robot, and a human customer-service end. The customer service robot is configured to: receive a session message from the customer end; identify content of the session message; determine whether it is capable of processing the session message based on the identified content; if so, obtain an answer message matching the identified content from pre-stored service resource and transmit the answer message to the customer end; or otherwise, set its state to a session suspended state, obtain a comforting answer message matching the session message from the pre-stored service resource, send the comforting answer message to the customer end, and transmit to the human customer-service end the session message that the customer service robot is not capable of processing or the content of which the customer service robot cannot identify.