DE-IDENTIFICATION DATA GENERATION APPARATUS, METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM THEREOF

    公开(公告)号:US20180137149A1

    公开(公告)日:2018-05-17

    申请号:US15369597

    申请日:2016-12-05

    CPC classification number: G06F16/215 G06F21/6254

    Abstract: A de-identification data generation apparatus, method, and non-transitory computer readable storage medium thereof are provided. The apparatus is stored with a plurality of original records, wherein each of the records has a plurality of original values corresponding to a plurality of attributes one-to-one. The apparatus decides a plurality of attribute relations (including a user-defined attribute relation) according to the original values, wherein each attribute relation is defined by two attributes. The apparatus decides a plurality of relation groups according to the attribute relations. For each relation group, the apparatus calculates a statistical distribution of the original values corresponding to the attributes in the relation group, aggregates the statistical distribution into a plurality of sub-statistical distributions, and adds noise to each sub-statistical distribution individually. The apparatus generates a plurality of de-identification records according to the noise-added sub-statistical distributions.

    APPARATUS AND METHOD FOR GENERATING A DIALOGUE STATE TRACKING MODEL

    公开(公告)号:US20210109996A1

    公开(公告)日:2021-04-15

    申请号:US16691547

    申请日:2019-11-21

    Abstract: An apparatus and method for generating a dialogue state tracking model. The apparatus retrieves a field feature corresponding to a queried field from a database according to the queried field corresponding to a queried message. The apparatus retrieves a candidate-term feature corresponding to each of at least one candidate-term corresponding to the queried field from the database, and integrates them into an integrated feature. The apparatus also generates at least one relation sub-sentence of a reply message corresponding to the queried message and generates a sentence relation feature according to the at least one relation sub-sentence. The apparatus further generates a queried field related feature according to the field feature, the integrated feature and the sentence relation feature and trains the dialogue state tracking model according to the queried field related feature.

    METHOD AND SYSTEM FOR RECOMMENDING TOURIST ATTRACTIONS BASED ON MEDICAL SERVICES
    4.
    发明申请
    METHOD AND SYSTEM FOR RECOMMENDING TOURIST ATTRACTIONS BASED ON MEDICAL SERVICES 审中-公开
    基于医疗服务推荐旅游景点的方法与系统

    公开(公告)号:US20150134474A1

    公开(公告)日:2015-05-14

    申请号:US14082204

    申请日:2013-11-18

    CPC classification number: G06Q50/14 G06Q30/0631

    Abstract: A method for recommending tour attractions based on medical services includes steps of choosing at least one medical service from a plurality of medical services; calculating suitability between the at least one medical service and tourist attractions based on medical degree parameters and tour degree parameters; and recommending at least one tourist attraction from a plurality of tourist attractions based on the suitabilities. Furthermore, a system for recommending tourist attractions based on medical services is also disclosed herein.

    Abstract translation: 基于医疗服务推荐旅游景点的方法包括从多个医疗服务中选择至少一个医疗服务的步骤; 根据医学程度参数和旅游度数参数计算至少一个医疗服务和旅游景点之间的适合性; 并根据适用性,从多个旅游景点推荐至少一个旅游景点。 此外,还公开了一种基于医疗服务推荐旅游景点的系统。

    SEMANTIC ANALYSIS METHOD, SEMANTIC ANALYSIS SYSTEM AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

    公开(公告)号:US20200160851A1

    公开(公告)日:2020-05-21

    申请号:US16215604

    申请日:2018-12-10

    Abstract: A semantic analysis method, semantic analysis and non-transitory computer-readable medium are provided in this disclosure. The semantic analysis method includes the following operations: inputting a voice and recognizing the voice to generate an input sentence, wherein the input sentence includes a plurality of vocabularies; selecting at least one key vocabulary from the vocabularies according to a word property corresponding to each vocabulary; establishing a parse tree according to the input sentence and finding a plurality of associated sub-sentences; calculating an associated feature vector between the associated sub-sentences; concatenating the associated feature vector and the vocabulary vector corresponding to each vocabulary to generate a vocabulary feature vector corresponding to each vocabulary; and analyzing the vocabulary feature vector to generate an analysis result by a semantic analysis model, wherein the analysis result includes a slot type corresponding to each vocabulary and an intent corresponding to the input sentence.

    SYSTEM, METHOD AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM FOR CONVERSATION ANALYSIS

    公开(公告)号:US20180143968A1

    公开(公告)日:2018-05-24

    申请号:US15367162

    申请日:2016-12-01

    CPC classification number: G06F17/279 G06F16/3344 G06F16/355

    Abstract: A conversation analysis method includes: receiving, by a processor, a conversation data including a plurality of sentences sorted by time; performing, by the processor, distributional clustering of context vectors to a plurality of words shown in the sentences to obtain a word order between the words; analyzing, by the processor, the words shown in the sentence to obtain a basic conversation matrix according to the word order; performing, by the processor, a fuzzy matching to the basic conversation matrix to obtain a conversation matrix based on the basic conversation matrix; detecting, by the processor, a topic trend according to the conversation matrix to determine the topic of the conversation data; and outputting, by the processor, the conversation matrix and the topic trend corresponding to the conversation data to a database.

    MACHINE READING COMPREHENSION APPARATUS AND METHOD

    公开(公告)号:US20230088411A1

    公开(公告)日:2023-03-23

    申请号:US17453004

    申请日:2021-11-01

    Abstract: A machine reading comprehension apparatus and method are provided. The apparatus receives a question and a text. The apparatus generates a plurality of first predicted answers and a plurality of first source sentences corresponding to each of the first predicted answers according to the question, the text, and the machine reading comprehension model. The apparatus determines a question category of the question. The apparatus extracts a plurality of special terms related to the question category and a plurality of second source sentences corresponding to each of the special terms from the text. The apparatus concatenates the question, the first source sentences, the second source sentences, the first predicted answers, and the special terms into an extended string. The apparatus generates a plurality of second predicted answers corresponding to the question according to the extended string and the micro finder model.

    METHOD AND SYSTEM FOR GENERATING CONVERSATIONAL USER INTERFACE

    公开(公告)号:US20190147029A1

    公开(公告)日:2019-05-16

    申请号:US15829056

    申请日:2017-12-01

    Abstract: A method for generating a conversational user interface is provided. The method is executed by a processor to perform the following steps. Extract the content of a webpage. Obtain a first form in the webpage. Obtain multiple first fields according to the first form. Create a first slot filling model based on the multiple first fields. Generate a conversational user interface. The processor is configured to use the first slot filling model to determine data required by the first fields, and obtain data that can be filled in the first fields according to an input dialogue data to fill in the first fields.

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