Microsoft Technology Licensing, LLC

Petrochina Company Limited

Other

Beijing Dajia Internet Information Technology Co., Ltd.

Di Li

Haitao Zhang

Xionghou Gao

Hongchang Duan

Zhengguo Tan

Chenxi Zhang

Emmanouil Koukoumidis

Ying Wang

Yunfeng Zheng

Xiaoliang Huang

Dong Ji

Jinjun Cai

Xueli Li

Joseph Edwin Johnson, Jr

Dustin Isaac Abramson

Zhan Chen

Steven G Zittrower

Chaowei Liu

Hailong Mu

Donald Brinkman

Kati Amanda London

Gengzhen Cao

Hudong Wang

Zhishuang Pan

Xiang Xu

Kelli A Stuckart

Yanbo Sun

Maria A Rangel

Pengfei Hao

ZhengGuo Tan

Yi Su

Yi Wang

Yanqing Ma

Yan Li

Dong Chen

Wei-Ying Ma

Yong Rui

Ran Duan

Lei Wang

Jin Li

Xianchao Wu

Wei Wang

Ruihua Song

Sanjay H Ramaswamy

Dheepak Ramaswamy

Yue Liu

Qi Yao

Pengfei Xu

Sreeram Nivarthi

Aaron James Harrison

Leanna Holly Robb

Min Zeng

Kuiyuan Yang

Oussama Elachqar

Ananthatejas Raghavan

Aleksey Ashikhmin

Wenkui Ding

Vindana Madhuwantha

Maria Alexandropoulou

Jun Wang

Heng Liu

Chunyan Liu

Konstantinos Aisopos

Umashree Narayanaswamy

Zhihua Zhang

Xiaoqing Liu

Anil Kumar Revuru

Chengcheng Liu

Shuo Wang

Yueyang Chen

Baoxun Wang

Andrew C Owen

Brian Quistorff

Eric Radtke

Omar Mustafa

Buyue Zhang

Guowei Xu

Shiqing Qian

Weixiang Ding

Huayong Lu

Liai Xu

Huiwen Deng

Leilei Zhu

Hanwen Liu

Haonan Wang

Yanhua Zhao

Shilong Wen

Xisheng Tian

Ying Zou

Sa Kang

Feng Zhou

Hui Zhang

Xiaoyu Qi

Xueqin Sun

Zhicheng Tang

The present disclosure provides method and apparatus for guiding topic in a conversation between a user and a chat engine. At least one first topic is determined. A first message is provided to the user based on the at least one first topic, to guide the conversation to the at least one first topic. A first response to the first message is received from the user. It is determined whether the first response is associated with the at least one first topic. In the case of determining that the first response is associated with the at least one first topic, at least one second topic is determined based on the at least one first topic. At least one second message is provided based at least on the at least one second topic, wherein if the at least one second topic is associated with resource or service, the at least one second message includes at least the resource or service.

Topic guiding in a conversation

The present disclosure provides method and apparatus for automatically generating motions of an avatar. A message in a session between a user and an electronic conversational agent may be obtained, the avatar being a visual representation of the electronic conversational agent. At least one facial animation and/or body animation may be determined based on at least one part of the message. At least one motion of the avatar may be generated based at least on the facial animation and/or the body animation.

Automatically generating motions of an avatar

A construction building equipment includes hanging pedestals, sleeve frames, hydraulic cylinders, upper reversing boxes, lower reversing boxes and track columns. The multiple hanging pedestals are fixed on an outer side of a shear wall of an external wall. The sleeve frames and the track columns are clamped on the hanging pedestals. The sleeve frames are clamped on outer sides of the track columns. The lower reversing boxes are fixed at upper ends of the sleeve frames. The hydraulic cylinders are connected with the upper reversing boxes and the lower reversing boxes. Side surfaces of the track columns are provided with pane holes for cooperative climbing of the upper reversing boxes and the lower reversing boxes. Upper ends of the track columns are fixedly connected with a top platform. Hangers and formworks are suspended on the top platform through booms.

Construction building equipment and construction method thereof

Aspects of the present disclosure provide systems and methods for detecting memorable events of a user, storing those memorable events in a user profile, and leveraging those events to the user. In so doing, memorable events with positive emotional weight may be recalled to encourage delightful experiences. Alternatively or additionally, memorable events with negative emotional weight may be recalled to increase user engagement for conversational systems.

Memorable event detection, recording, and exploitation

Method and apparatus for assisting psychological cure in automated chatting. At least one message may be received in a chat flow, a psychological test may be performed based on the at least one message, and a cure strategy may be provided based at least on the psychological test. A first request for obtaining user information of a user may be received in a chat flow, the user information may be provided based on the first request, a second request for obtaining a suggested cure strategy for the user may be received, and the suggested cure strategy may be provided based on the second request, wherein the suggested cure strategy may be determined based at least on the user information.

Assisting psychological cure in automated chatting

A system and method for determining enterprise metrics of an enterprise application is described. The system receives a root cause definition that identifies enterprise user metrics and predefined parameters for the enterprise user metrics. The enterprise user metrics identify operation metrics of the enterprise application by users of the enterprise. The system stores the root cause definition in a library of root causes definitions. The system receives a selection of a plan that identifies an operation attribute of the enterprise application. The system identifies a root cause from the library of root causes definitions based on the plan. The system generates a recommendation based on the identified root cause.

Root cause discovery system

The present disclosure relates to a video rating method, a video rating device, equipment and a storage medium, relating to the field of multimedia. An embodiment of the present disclosure provides a method for automatically rating a video based on features of multiple modals of the video and rating embedding modes. By fusing the features of the multiple modals of the video, the rating of the video is converted into rating embedding in a vector space, and a matching degree between a target feature fusing with the multiple modals and each rating embedding is acquired, the rating of the video is predicted according to the matching degree corresponding to each rating embedding, and the video rating efficiency and accuracy can be improved.

Video rating method, video rating device, equipment and storage medium

A method may include retrieving metric data on a plurality of groups of users, the metric data including: a value of a performance metric for each of the plurality of groups; and an indication that a first group of the plurality of groups is anomalous with respect to a value of the performance metric of a control group of the plurality of groups; and presenting a user interface, the user interface including: a first portion including a visualization of a comparison of the value of the performance metric for the first group and values of the performance metric of other groups in the plurality of groups; and a second portion including a visualization of trend data of the performance metric for the first group over a period of time.

System for identification of outlier groups

Systems and methods are disclosed for conversationally-relevant content requests. In one implementation, a first communication is processed to identify a first content element within the communication. The first content element is stored within a first content repository. A content request is generated based on the first content repository. The content request is provided to the user. A second communication is received from the user in response to the content request. An action is initiated based on the second communication.

Conversationally-relevant content requests

A system provides emotionally and intellectually relevant responses to user queries received by a chatbot instantiated by a computing device. The system also receives user data associated with the user query. The user query is communicated to a first supervised machine learning model to obtain a first plurality of ranked responses. The system also communicates the received user data to a second supervised machine learning model to obtain a first plurality of emotions associated with the user data. The system then determines determine a second plurality of emotions for the first plurality of responses and re-ranks the first plurality of responses based on a comparison of the first plurality of emotions and the second plurality of emotions. The system then selects a response to the user query from the re-ranked responses and outputs the selected response using the chatbot instantiated by the computing device.

Emotional intelligence for a conversational chatbot

An image chat application generates comments to images based on features of the images. In one example, the image chat application searches through a repository of stored image-comment pairs to identify a stored image that is similar to the image, and generates a comment to the image based on an identified stored image-comment pair. In another example, the image chat application may identify and tag particular objects that dominate an image, and may generate a comment to the image based on characteristics of those particular objects. In this second example, the image chat application further generates a comment to the image based on comments previously associated with the identified tag.

Identifying image comments from similar images

Systems and methods for personality consistent automated chatting are provided. The systems and methods track the emotional state of the chat bot, track entity related dispositions of the chat bot and/or track the closeness of the relationship between the chat bot and a user. Accordingly, the systems and methods are able to provide consistent personality and/or points of view by generating replies based on the tracked chat bot emotional state, chat bot entity dispositions, and/or the relationship closeness between the chat bot and the user.

Systems and methods for a personality consistent chat bot

A medical imaging system is disclosed in the present invention, including a medical image acquisition device and medical image processing system. Said medical image acquisition device includes: an acquisition apparatus for acquiring image signals in a medical process from a first viewing angle of a doctor; and a signal processing apparatus for performing a first processing on the acquired image signals and then sending digital image signals in the form of data stream. Said medical image processing system includes: a signal transmission module for receiving a data stream of digital image signals from a medical image acquisition device; and an image processing module for processing the received data stream of digital image signals in real time according to a predetermined image processing method so as to obtain optimized digital medical image signals.

Medical imaging system and method for obtaining medical image

The present invention provides a catalytic cracking catalyst for heavy oil and preparation methods thereof. The catalyst comprises 2 to 50% by weight of a phosphorus-containing ultrastable rare earth Y-type molecular sieve, 0.5 to 30% by weight of one or more other molecular sieves, 0.5 to 70% by weight of clay, 1.0 to 65% by weight of high-temperature-resistant inorganic oxides, and 0.01 to 12.5% by weight of a rare earth oxide. The phosphorus-containing ultra-stable rare earth Y-type molecular sieve uses a NaY molecular sieve as a raw material. The raw material is subjected to a rare-earth exchange and a dispersing pre-exchange; the molecular sieve slurry is then filtered, washed with water and subjected to a first calcination to obtain a rare earth sodium Y molecular sieve which has been subjected to such 'first-exchange first-calcination', wherein the steps of rare earth exchange and dispersing pre-exchange are not restricted in sequence; and then the rare earth sodium Y molecular sieve which has been subjected to 'one-exchange one-calcination' is subjected to &#x201c;second exchange and second calcination&#x201d; including ammonium exchange and a phosphorus modification, wherein the steps of the ammonium exchange and the phosphorus modification are not restricted in sequence. The steps of the ammonium exchange and the phosphorus modification can be conducted continuously or non-continuously, the second calcination is conducted after the ammonium exchange for reducing sodium, the phosphorus modification can be conducted before or after the second calcination. The catalyst provided by the invention has the characteristics of high heavy oil conversion capacity, high total liquid yield, and high yield of light oil.

Catalytic cracking catalyst for high-efficiency conversion of heavy oil and preparation method thereof

Provided is a phosphorus-containing ultrastable Y-type rare earth (RE) molecular sieve and the preparation method thereof. The method is: based on NaY molecular sieve as a raw material, obtaining 'one-exchange one-roast' RE-Na Y-type molecular sieve through the steps of exchanging with RE, pre-exchanging with dispersing, and the first calcination; and then performing ammonium salt exchange, phosphorus modification, and the second calcination on the 'one-exchange one-roast' RE-Na Y-type molecular sieve, wherein the sequence of the RE exchange and the pre-exchange with dispersing is unlimited, and the sequence of the ammonium salt exchange and the phosphorus modification is unlimited as well. The obtained molecular sieve contains RE oxide 1-20 wt %, phosphorus 0.1-5 wt %, and sodium oxide no more than 1.2 wt %, and has a crystallization degree of 51-69% and a lattice parameter of 2.449-2.469 nm. Heavy oil conversion rate can be increased by using the molecular sieve as an active component in a catalytic cracking catalyst.

Phosphorus-containing ultrastable Y-type rare earth molecular sieve and preparation method therefor

Growing community of inventors

Beijing, China

Di Li