-
公开(公告)号：US20200073878A1
公开(公告)日：2020-03-05
申请号：US16173357
申请日：2018-10-29
摘要： A system and method for extracting structured information from an implicit table is disclosed. The system and method provide a way to locate and categorize structured information from an implicit table. More specifically, the system and method provide a way of determining which part of an input image document includes a dominant table and which parts of the dominant table make up rows and columns. These details give meaning to the structured information of the implicit table. These details can be used to properly place the structured information from the implicit table into a two-dimensional data structure, such as a data structure in a relational database. In other words, the structured information from a scanned or digital Portable Document Format (PDF) document can be extracted and placed into a useful format, such as a relational database.
-
公开(公告)号：US20200058295A1
公开(公告)日：2020-02-20
申请号：US16105578
申请日：2018-08-20
摘要： The system and method generally include identifying whether an utterance spoken by a user (e.g., customer) is a complete or incomplete sentence. For example, the system may include a partial utterance detection module that determines whether an utterance spoken by a user is a partial utterance. The detection process may include providing a detection advice code that gives a recommendation for handling the utterance of interest. If it is determined that the utterance is an incomplete sentence, then the system and method can identify the type of utterance. For example, the system may include a partial utterance classification module that predicts the class of a partial utterance. The classification process may include providing a classification advice code that gives a recommendation for handling the utterance of interest. Once a partial utterance is detected and classified, the system and method can further determine what the user meant by the utterance and can recommend a response to the user's utterance that further advances a conversation between the user and a virtual agent.
-
公开(公告)号：US20190050494A1
公开(公告)日：2019-02-14
申请号：US15824305
申请日：2017-11-28
发明人： Srikanth G. Rao , Roshni Ramesh Ramnani , Tarun Singhal , Shubhashis Sengupta , Tirupal Rao Ravilla , Dongay Choudary Nuvvula , Soumya Chandran , Sumitraj Ganapat Patil , Rakesh Thimmaiah , Sanjay Podder , Surya Kumar IVG , Ranjana Bhalchandra Narawane
IPC分类号： G06F17/30
摘要： Methods and systems including computer programs encoded on a computer storage medium, for interactive content recommendation. In one aspect, a method includes receiving a request for content by a user, determining a user intent based on the received request, providing to the user a first attribute responsive to the user intent, receiving a first attribute value responsive to the first attribute, providing a second attribute, and receiving a second attribute value responsive to the second attribute. A particular content vector including a first content attribute and a second content attribute for a particular content item is identified where the first content attribute and the second content attribute sufficiently match the first attribute value and the second attribute value. The particular content item is provided as a suggested content item, and, responsive to a user selection of the particular content item, provided for presentation on the user device.
-
公开(公告)号：US10157223B2
公开(公告)日：2018-12-18
申请号：US15144277
申请日：2016-05-02
IPC分类号： G06F17/30
摘要： A device may obtain text to be processed to identify a trend associated with a topic included in the text. The text may include a plurality of text sections, associated with the topic, that may be associated with a plurality of temporal intervals. The device may determine a respective context for the topic in each of the plurality of text sections. The device may calculate a first specificity score based on the respective context for the topic for one or more text sections associated with the first temporal interval. The device may calculate a second specificity score based on the respective context for the topic for one or more text sections associated with the second temporal interval. The device may identify a trend associated with the topic based on the first specificity score and the second specificity score, and may provide information that identifies the trend.
-
35.发明申请公开(公告)号：US20180341871A1
公开(公告)日：2018-11-29
申请号：US15988911
申请日：2018-05-24
发明人： Anutosh MAITRA , Shubhashis Sengupta , Tom Geo Jain , Sanjay Podder , Rajkumar Pujari , Deepak Gupta , Asif Ekbal , Pushpak Bhattacharyya
摘要： A device receives documents and previously answered questions associated with a restricted domain, and processes the documents and the previously answered questions to generate a corpus of searchable information. The device receives a question associated with the restricted domain, and processes the question, with a machine learning model or a rule-based classifier model, to determine a classification type for the question. The device manipulates the question to generate a query from the question, and processes the query, with an expansion technique, to generate an expanded query. The device utilizes the expanded query, with the corpus of searchable information, to identify candidate answers to the question, and processes the candidate answers and the classification type for the question, with a deep learning model, to generate scored and ranked candidate answers to the question. The device selects an answer from the scored and ranked candidate answers, and provides information indicating the answer.
-
36.发明申请公开(公告)号：US20170193397A1
公开(公告)日：2017-07-06
申请号：US15185869
申请日：2016-06-17
发明人： Samatha Kottha , Bhavana Rao , Suraj Gjadhav , Jayati Deshmukh , Annervaz Karukapadath Mohamedrasheed , Sanjay Podder , Shubhashis Sengupta
CPC分类号： G06N20/00 , G06F16/358 , G06F17/2785 , G06F17/289 , G06N3/008 , G06N3/0427 , G06N3/0445 , G06N3/0454
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for natural language processing of unstructured text are disclosed. In one aspect, a method includes the actions of receiving one or more unstructured data entries that each include one or more sentences, are each associated with an entity, and are each from a user. The actions further include parsing the one or more sentences. The actions further include determining one or more classifications of each unstructured data entry. The actions further include determining a sentiment. The actions further include accessing structured data. The actions further include defining one or more groups of users based on the structured data, wherein each of the one or more groups shares a common characteristic in the structured data. The actions further include determining sentiments to associate with the group.
-
公开(公告)号：US20170161366A1
公开(公告)日：2017-06-08
申请号：US15046032
申请日：2016-02-17
发明人： Anutosh MAITRA , Shubhashis Sengupta , Tom Geo Jain , Roshni Ramesh Ramnani , Hitanshu Rakeshkumar Tiwari
IPC分类号： G06F17/30
CPC分类号： G06F17/30684 , G06Q10/1053
摘要： A device may receive a first textual document and a set of second textual documents. The first textual document may identify parameters. The device may process the first textual document, based on a natural language processing algorithm, to identify first values corresponding to the parameters. The device may process the plurality of second textual documents, based on the natural language processing algorithm, to identify second values corresponding to the parameters. Each of the plurality of second textual documents may be associated with one or more respective second values of the second values. The device may determine scores for the plurality of second textual documents. A score may be determined based on comparing one or more of the first values to one or more of the second values associated with a second textual document. The device may provide information identifying the plurality of second textual documents and the scores.
-
公开(公告)号：US11886821B2
公开(公告)日：2024-01-30
申请号：US17232842
申请日：2021-04-16
IPC分类号： G06F40/295 , G06F16/2452
CPC分类号： G06F40/295 , G06F16/24522
摘要： Automated response generation systems and methods are disclosed. The systems can include a deep learning model specially configured to apply inferencing techniques to redesign natural language querying systems for use over knowledge graphs. The disclosed systems and methods provide a model for inferencing referred to as a Hierarchical Recurrent Path Encoder (HRPE). An entity extraction and linking module as well as a data conversion and generation module process the content of a given query. The output is processed by the proposed model to generate inferred answers.
-
公开(公告)号：US20230367669A1
公开(公告)日：2023-11-16
申请号：US18333094
申请日：2023-06-12
发明人： Sanjay Tiwari , Shantha Maheswari , Surya Kumar Ivg , Mathangi Sandilya , Gaurav Khanduri , Shubhashis Sengupta , Marcio Miranda Theme , Badarayan Panigrahi , Tarang Kumar
CPC分类号： G06F11/079 , G06N5/04 , G06F11/0751 , G06F11/0793 , G06N20/00 , G06F11/0709
摘要： Embodiments of the present disclosure provide systems, methods, and computer-readable storage media that leverage artificial intelligence and machine learning to identify, diagnose, and mitigate occurrences of network faults or incidents within a network. Historical network incidents may be used to generate a model that may be used to evaluate real-time occurring network incidents, such as to identify a cause of the network incident. Clustering algorithms may be used to identify portions of the model that share similarities with a network incident and then actions taken to resolve similar network incidents in the past may be identified and proposed as candidate actions that may be executed to resolve the cause of the network incident. Execution of the candidate actions may be performed under control of a user or automatically based on execution criteria and the configuration of the fault mitigation system.
-
公开(公告)号：US11714700B2
公开(公告)日：2023-08-01
申请号：US17557038
申请日：2021-12-20
发明人： Sanjay Tiwari , Shantha Maheswari , Surya Kumar Ivg , Mathangi Sandilya , Gaurav Khanduri , Shubhashis Sengupta , Marcio Miranda Theme , Badarayan Panigrahi , Tarang Kumar
CPC分类号： G06F11/079 , G06F11/0709 , G06F11/0751 , G06F11/0793 , G06N5/04 , G06N20/00
摘要： Embodiments of the present disclosure provide systems, methods, and computer-readable storage media that leverage artificial intelligence and machine learning to identify, diagnose, and mitigate occurrences of network faults or incidents within a network. Historical network incidents may be used to generate a model that may be used to evaluate real-time occurring network incidents, such as to identify a cause of the network incident. Clustering algorithms may be used to identify portions of the model that share similarities with a network incident and then actions taken to resolve similar network incidents in the past may be identified and proposed as candidate actions that may be executed to resolve the cause of the network incident. Execution of the candidate actions may be performed under control of a user or automatically based on execution criteria and the configuration of the fault mitigation system.
-
-
-
-
-
-
-
-
-
搜索结果
64 条记录 (耗时 0.017 秒)
