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1. 发明专利

SG11202012048VA CUSTOM INTERACTIONS WITH VISUALIZATIONS 未知
公开(公告)号：SG11202012048VA
公开(公告)日：2021-01-28
申请号：SG11202012048V
申请日：2019-06-28
申请人： LUCID SOFTWARE INC
发明人： DILTS BENJAMIN , MORELLI ANTHONY , HART JAMES , DAVIS TYLER , MCKENNA SEAN , STRINGHAM RYAN , DRAPER PAUL , LUTTMER LAURA
IPC分类号： G06F16/28 , G06F16/25 , G06F16/34 , G06F16/904
摘要： In an example, a method to interact with a visualization of data may include mapping at least some data of a data source to a contract such that the contract is satisfied. The method may also include displaying a visualization of the at least some data of the data source based on the contract. The displayed visualization includes multiple graphical objects that graphically represent the at least some data of the data source. The method may also include receiving input effective to alter a first graphical object of the graphical objects. The method may also include determining that the alteration to the first graphical object implicates a change to a first data object of the at least some data of the data source.

2. 发明专利

AU2018226398A1 AUTOMATED HIGHLIGHTING OF KEY POINTS IN CONTENT USING MACHINE LEARNING TO IMPROVE DOCUMENT COMPREHENSION. USING EASY TO COLLECT HUMAN FEEDBACK TO IMPROVE THE ALGORITHM 未知
公开(公告)号：AU2018226398A1
公开(公告)日：2019-06-06
申请号：AU2018226398
申请日：2018-09-04
申请人： ADOBE INC
发明人： THEVENET FREDERIC , CHANG WALTER , FITZGERALD SEAN , MALANGULLY RAGUNANDAN RAO , WATERS JASON , BYRUM LAURIE , DOCKHORN CARL
IPC分类号： G06F17/27 , G06F16/34 , G06F40/00
摘要： Highlighting key portions of text within a document is described. A document having text is obtained, and key portions of the document are determined using summarization techniques. Key portion data indicative of the key portions is generated and maintained for output to generate a highlighted document in which highlight overlays are displayed over or proximate the determined key portions of the text within the document. In one or more implementations, reader interactions with the highlighted document are monitored to generate reader feedback data. The reader feedback data may then be combined with the output of the summarization techniques in order to adjust the determined key portions. In some cases, the reader feedback data may also be used to improve the summarization techniques. DOCUMENT Document Highlighting 100 System 102 l - Key Portion FD Recognizer 104 I -OItil.OI MIM SummariZation - Model 116 N Adjustment Mdl / ~~ 122Moue Documents 112 Key Portion '- 118 Data 114 Network Reader 110 Feedback Data 124 NN -12 120 Client Devices 106 / 66. Reader/ Application 108 LHighlighted\ Douent 120

3. 发明专利

GB2568571A Generating a targeted summary of textual content tuned to a target audience vocabulary 未知
公开(公告)号：GB2568571A
公开(公告)日：2019-05-22
申请号：GB201814861
申请日：2018-09-13
申请人： ADOBE INC
发明人： SAUMITRA SHARMA , KUNDAN KRISHNA , BALAJI VASAN SRINIVASAN , ANIKET MURHEKAR
IPC分类号： G06F16/34 , G06F40/00
摘要： A method for generating a targeted summary 116 of textual content 112 tuned to a target audience vocabulary 114 wherein a request to summarise textual content tuned to a target audience is received, an attention distribution 304 comprising words 306 from the textual content and audience vocabulary, and selection probability values 308 for each word is generated by a word generation model 120. The next word 312 in the targeted summary is selected based on the attention distribution and a linguistic preference model 122 indicating word preference probabilities 202 for the audience vocabulary and feedback 320 of the selected next word is provided to the word generation model causing it to modify the attention distribution for selection of subsequent words of the summary based on the feedback of the next generated word. Also disclosed is a method of training a linguistic preference model using target audience training data wherein the training data comprises a corpus of textual content and the model is trained using one or more machine learning techniques to learn word preference probabilities of the target audience based on word usage frequencies. Also disclosed is a system for the execution of both methods.

4. 发明专利

BR8000822U 未知
公开(公告)号：BR8000822U
公开(公告)日：2001-12-18
申请号：BR8000822
申请日：2000-05-12
申请人： ERNANDE RICARDO DOBRACHINSKI , ALEXANDRO DORIVAL BABIRESKI , AGLAE CASSIA DOBRACHINSKI BABIRESKI
发明人： DOBRACHINSKI ERNANDE RICARDO , BABIRESKI ALEXANDRO DORIVAL , BABIRESKI AGLAE CASSIA DOBRACHINSKI
IPC分类号： G06F16/34 , G06Q20/18 , G06Q50/08 , G06F17/60

5. 实用新型

CN208477524U 一种图形化的案件梳理系统有权
公开(公告)号：CN208477524U
公开(公告)日：2019-02-05
申请号：CN201721901091.1
申请日：2017-12-29
申请人：杭州世平信息科技有限公司
发明人：徐建忠 , 张亮
IPC分类号： G06F17/27 , G06F16/34 , G06K9/00 , G06Q50/18
摘要：一种图形化的案件梳理系统，包括能够将纸质版卷宗文字转换为可编辑电子版文字的输入模块；输入模块将案件信息输入图形化模块，图形化模块包括案件要素提取模块与图形化处理模块；图形化模块连接能够将图形化的案件要素信息进行显示的显示模块。所述的输入模块采用带有OCR识别功能的扫描仪或者扫描仪与OCR识别模块的组合装置。本实用新型通过图形化技术，将案件要素之间的关系可视化的展现出来，基于图形进行逻辑推理以及论证，辅助检察官、法官进行案件梳理、了解案情脉络，进而节约办案时间，提高办案效率，该系统适用于检察院、法院，具有非常广阔的应用前景。

6. 发明专利

AU2022268337A1 METHOD AND APPARATUS OF MACHINE LEARNING USING A NETWORK WITH SOFTWARE AGENTS AT THE NETWORK NODES AND THEN RANKING NETWORK NODES 未知
公开(公告)号：AU2022268337A1
公开(公告)日：2022-12-22
申请号：AU2022268337
申请日：2022-11-09
申请人： KYNDI INC
发明人： MAJUMDAR ARUN , WELSH JAMES RYAN
IPC分类号： G06F7/00 , G06F16/34 , G06F17/00 , H04M1/02
摘要： Abstract A website ranking apparatus, comprising: a network communications interface connected to the Internet including a plurality of websites, and configured to receive data elements from the websites; a memory storing a database of the websites, the database of the websites including a plurality of nodes representing the respective websites and data elements received therefrom, and the plurality of nodes being respectively connected by a plurality of links representing connections between the websites; and processing circuitry configured to receive an input query from a user; determine a first-order path matrix including values representing one-link paths between pairs of the plurality of nodes, which are connected by a respective one of the plurality of links; generate a surrogate ranking operator (SRO) using a power series of the first order path matrix; rank the websites using a matrix product between a state vector of the input query and the generated SRO; and output the ranked websites to the user as a recommendation of best websites satisfying the received input query, wherein the processing circuitry is further configured to generate the SRO by summing the power series such that, in the power series, each nth-order path matrix in the power series is divided by 2 raised to an nth power, when the plurality of links are ordered, and each nth-order path matrix in the power series is divided by a factorial of n, when the plurality of links are not ordered.

7. 发明专利

AU2019291940B2 Visualization customization 未知
公开(公告)号：AU2019291940B2
公开(公告)日：2022-06-02
申请号：AU2019291940
申请日：2019-06-28
申请人： LUCID SOFTWARE INC
发明人： DILTS BENJAMIN N , MORELLI ANTHONY T , HART JAMES A , DAVIS TYLER J , MCKENNA SEAN P , STRINGHAM RYAN J , DRAPER PAUL D , LUTTMER LAURA G
IPC分类号： G06F16/28 , G06F16/25 , G06F16/34 , G06F16/904
摘要： In an example, a method may include generating a semantic layout of a visualization based on a contract associated with a visualization type. The method may also include receiving input effective to alter a set of one or more graphical objects to display for each of some but not all data objects of a data source from a default set of one or more graphical objects to a custom set of one or more graphical objects. The method may also include generating a concrete layout of the visualization that specifies the set of one or more graphical objects to display for each of the data objects, including the default set for a first data object and the custom set for a second data object. The method also includes displaying the visualization based on the contract, the semantic layout, and the concrete layout, the visualization having the visualization type.

8. 发明专利

TR202019137A2 YAPAY ZEKÂ İLE WEB SAYFALARINDA BULUNAN METİN İÇERİKLERİNİ ÖZETLEYEN BİR SİSTEM 未知
公开(公告)号：TR202019137A2
公开(公告)日：2021-04-21
申请号：TR202019137
申请日：2020-11-27
申请人： TURKCELL TEKNOLOJI ARASTIRMA VE GELISTIRME ANONIM SIRKETI
发明人： YUSUF YAZICI , UĞUR DOKTUR , ROZİ ESKENAZİ VENTURERO , YUSUF ÇAKMAK
IPC分类号： G06F16/34 , G06F16/951
摘要： Bu buluş, müşteri temsilcilerinin karşılaştıkları müşteri taleplerine ve sorularına ilişkin bilgi içeren web sayfalarından özet bir içerik oluşturulmasını ve oluşturulan içeriğin müşteri temsilcisine iletilmesini sağlayan bir sistem (1) ile ilgilidir.

9. 发明专利

BRPI0913815B1 equipamento de computador e método para extração de termos a partir de dados de documentos incluindo segmentos de texto 未知
公开(公告)号：BRPI0913815B1
公开(公告)日：2019-11-12
申请号：BRPI0913815
申请日：2009-07-30
申请人： IBM
发明人： HIRONORI TAKEUCHI , SHIHO NEGISHI , YOHEI IKAWA
IPC分类号： G06F16/34
摘要： equipamento de computador, método e programa de computador para extração de termos a partir de dados de documentos incluindo segmentos de texto o objeto da presente invenção é fornecer um método de utilização de características. linguísticas e estruturais de um· documento, em particular um documento técnico, para extrair termos, classificando automaticamente os termos extraídos de modo útil para uma compreensão geral ou detalhada do documento, e apresentação do termo classificado para o usuário. soluções - a presente invenção fornece um equipamento ou sistema de computador para extrair um termo dos dados do documento incluindo um segmento de texto. o sistema de computador inclui.: uma primeira unidade de extração que utiliza uma primeira informação de processamento de texto para extrair um substãntivo dos dadós do documento; uma segunda unidade de extração que utiliza uma segunda informação de processamento de texto para extrair um termo candidato em relação ao substantivo extraído dos dados do documento ou do corpus incluindo os dados de texto descritos no mesmo idioma utilizado nos dados do documento; uma unidade de atribuição do peso que, a fim de determinar a qual tipo dentre uma pluralidade de tipos o substantivo e o 'termo candidato. extraído pertencem, utiliza uma terceira informação de processamento de texto para selecionar a qual tipo dentre a pluralidade deles atribuir um peso, atribui o peso ao tipo selecionado para cada substantivo e termo candidato extraídos; uma unidade de determinação que determina o tipo ao qual o substantivo e o termo candidato extraídos pertencem, com base no peso atribuído; e uma unidade de exibição que segue a determinação para exibir o substantivo e o termo candidato extraídos cada um em associação a um tipo determinado. a presente invenção também fornece um método e um programa de computador para extrair um termo de um documento incluindo um segmento de texto.

10. 发明专利

AU2019200746A1 METHOD TO GENERATE SUMMARIES TUNED TO TOPICS OF INTEREST OF READERS 未知
公开(公告)号：AU2019200746A1
公开(公告)日：2019-11-07
申请号：AU2019200746
申请日：2019-02-04
申请人： ADOBE INC
发明人： KRISHNA KUNDAN , SRINIVASAN BALAJI VASAN
IPC分类号： G06F16/34 , G06F40/00 , G06N3/02
摘要： A word generation model obtains textual content and a requested topic of interest, and generates a targeted summary of the textual content tuned to the topic of interest. To do so, a topic-aware encoding model encodes the textual content with a topic label corresponding to the topic of interest to generate topic-aware encoded text. A word generation model selects a next word for the topic-based summary from the topic-aware encoded text. The word generation model is trained to generate topic-based summaries using machine learning on training data including a multitude of documents, a respective summary of each document, and a respective topic of each summary. Feedback of the selected next word is provided to the word generation model. The feedback causes the word generation model to select subsequent words for the topic based summary based on the feedback of the next selected word. Service Provider System 102 Request Topic-Based Summary Training Module Module 118 124 Cxtuat Word Generation Model Articficially 112 120 1 Generated -- Training Data Topic of Topic-Aware Encoding 126 Interest Model 122 Topic-Based Summary Network Client Device 104 Communication Module 108

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