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首頁> 外國專利> Robotic Property Leasing Service The purpose of the invention is to establish an online Robotic Property Leasing Service, which combines various Artificial Intelligence technologies with property leasing legal knowledge, to accelerate the property leasing processes for individual or organisational property lessor (owner) and lessee (tenant) parties, and other related parties, such as Law Firms, Government, Agency and Financial institute etc.

Robotic Property Leasing Service The purpose of the invention is to establish an online Robotic Property Leasing Service, which combines various Artificial Intelligence technologies with property leasing legal knowledge, to accelerate the property leasing processes for individual or organisational property lessor (owner) and lessee (tenant) parties, and other related parties, such as Law Firms, Government, Agency and Financial institute etc.

機譯：機器人財產(chǎn)租賃服務(wù)本發(fā)明的目的是建立在線機器人財產(chǎn)租賃服務(wù)，該服務(wù)將各種人工智能技術(shù)與財產(chǎn)租賃法律知識相結(jié)合，以加快個人或組織財產(chǎn)出租人（所有者）和承租人（承租人）的財產(chǎn)租賃過程。 ）當(dāng)事人以及其他關(guān)聯(lián)方，例如律師事務(wù)所，政府，代理機構(gòu)和金融機構(gòu)等。

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摘要

#$%^&*AU2019100834A420190905.pdf#####ABSTRACT The present invention of the Robotic Property Leasing Service has key offerings include: Establishing a neural network machine learning model particular used for Property Leasing; representing either the property lessor or the property lessee as a legal matter assistant, who intelligently generates, negotiates, modifies and finalises the "Tenancy Agreements for Room or Property Rentals" with leasing conditions known as additional terms based on the Property Leasing machine learning model capturing mandatory or optional information, explaining and discussing the leasing conditions and explaining legal terms; Establishing the Property Leasing machine deep learning knowledge base as legal matter case references; and Leveraging reallife solicitors, who are licensed and qualified professionals to provide the advice and information to the Robotic Property Leasing Service.3 BRIEF DESCRIPTION OF THE DRAWING Fig. 1 shows the high-level process and functionalities Lessor's Robotic Leasing Service. r---------------------F1.01 Capture Lessing Property Interrnation F1.02(JAI} Based on trained model andKnowledge Base to generate Basic Draft Leasing Contract 5rd Party Systems F1.03(JAI) Generate a IsM of Leaing Conditons for discussion F1.04 (AI) Explain and DiSCus Leasing conditions F1.05 Chkecklist and attachrnients F1.06 Generate and dlstrubutle thes draftL I Leas~ng~gentversion of the leasIng contact F1.07 Distubiie the leasing contract to potencla lessees Lessor Party F1.08 Capture inputs ftrmleases party oorLsr' F1.09 (Aq} Decide and provide replies F1.10 Agree all changesi and finallse the leasing contract for exchange ~~l F11 Exchange Final Contract Lesee P (Capture D gital Signature) (Lesee or Lei Saliakitr, could be multiple) Fl. 12 Post exchange legal matters F1.13 Cancel Contract Fig. I - Lessor's Robotic Leasing Service 5
機譯：＃$％^＆* AU2019100834A420190905.pdf #####抽象機器人物業(yè)租賃服務(wù)的本發(fā)明具有關(guān)鍵的產(chǎn)品包括：建立專門用于以下方面的神經(jīng)網(wǎng)絡(luò)機器學(xué)習(xí)模型物業(yè)租賃;代表財產(chǎn)出租人或財產(chǎn)承租人為法律事務(wù)助理，可以智能地生成，協(xié)商，修改和完成有租賃條件的“房間或物業(yè)租賃租賃協(xié)議”基于“物業(yè)租賃”機器學(xué)習(xí)模型的附加術(shù)語收集強制性或可選信息，解釋和討論租賃條件和法律條款解釋;建立物業(yè)租賃機深度學(xué)習(xí)知識庫，作為法律案件參考;和利用真實生命律師，由執(zhí)照和合格的專業(yè)人員提供建議和信息發(fā)送給機器人財產(chǎn)租賃服務(wù)。3圖紙的簡要說明圖1顯示了Lessor的機器人租賃服務(wù)的高級流程和功能。r ---------------------F1.01捕獲損失屬性刑訊F1.02（JAI}基于訓(xùn)練的模型和知識庫以生成基本草案租賃合同第五黨系統(tǒng)F1.03（JAI）生成學(xué)習(xí)的IsM討論條件F1.04（AI）解釋和DiSCus租賃條件F1.05清單和附件F1.06生成并草稿草稿租賃聯(lián)系的租賃F1.07 Distubiie的租賃合同潛在承租人出租方F1.08捕獲輸入的內(nèi)容，然后發(fā)送給對方F1.09（Aq}決定并提供答復(fù)F1.10同意所有更改并最終完成交換租賃合同~~ l F11交換最終合同Lesee P（D簽名）（Lesee或LeiSaliakitr，可能是多）圖12交換后法律事項F1.13取消合同圖一-出租人的機器人租賃服務(wù)5

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  • 公開/公告號AU2019100834A4

    專利類型

  • 公開/公告日2019-09-05

    原文格式PDF

  • 申請/專利權(quán)人 LEVO TECHNOLOGY PTY LTD;

    申請/專利號AU20190100834

  • 發(fā)明設(shè)計人 XIE KEQUN;GUO DINGMING;ZHANG RONGLAI;

    申請日2019-07-29

  • 分類號G06Q50/16;G06N3/02;

  • 國家 AU

  • 入庫時間 2022-08-21 11:55:27

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