Abstract: A method and system for handling unlabeled interaction data with contextual understanding are disclosed. In some embodiments, the method includes receiving the interaction data describing agent-consumer interactions associated with a contact center. The method includes analyzing the interaction data to identify a plurality of features. The method includes automatically performing taxonomy driven classification on the plurality of features to generate a first set of labels associated with the interaction data. The method includes training a deep learning model using the first set of labels and the interaction data to determine a second set of labels. The method then includes intelligently combining the first and second sets of labels to obtain a combined set of labels associated with the interaction data.

Abstract: The present invention relates to a method for generating abstractive summary. The method comprises receiving a query for generating an abstractive summary from a document and splitting the query into one or more lexical units. Further, a semantic graph and a graph index is generated based on a role assigned to the one or more lexical units. Furthermore, a measure of information is determined for the retrieved one or more sentences. The one or more sentences having a semantic graph analogous to the generated semantic graph of the query are retrieved from the document. Finally, at least one of re-ordering and re-phrasing is performed on at least one of the retrieved one or more sentences based on the computed measure of information and the one or more lexical units in the retrieved one or more sentences to generate the abstractive summary.

Abstract: A method and system of language independent iterative learning mechanism for Natural Language Processing (NLP) tasks is disclosed. The method includes identifying at least one NLP feature associated with a set of words within a sentence for an NLP task. The method includes creating a pattern associated with the sentence for the NLP task, based on the at least one NLP feature associated with the set of words and the linkage relationship between each subset of two adjacent words. The method further includes computing a confidence score corresponding to the pattern, based on a comparison within a trained dataset. The method further includes assigning a pattern category to the pattern, based on the confidence score and a predefined threshold score. The method further includes executing the NLP task based on the assigned pattern category.

Abstract: The present disclosure discloses method and a critical event managing system for managing time-critical events associated with critical devices. The critical event managing system identifies time-critical events from plurality of events based on predetermined factors related to the plurality of events. The plurality of events is determined from first procedural sequences identified from procedural narration by a practitioner and stored protocol manual. At least one of missed and incorrect events are determined based on comparison between reference and observed values associated with critical devices. A revised execution plan is provided iteratively based on historical data, data provided by practitioner, first procedural sequences, and metadata associated with plurality of parameters.

Abstract: The present disclosure discloses method and guidance providing system for providing real-time guidance to users during troubleshooting of devices. The guidance providing system receives user input indicating troubleshooting actions on device, by user, where user input comprises textual input and non-textual input, identifies object in device associated with troubleshooting actions and state of user while performing troubleshooting actions, from non-textual input. The object identified from non-textual input is mapped with textual input to obtain mapped user input. Consistency of mapped user input is verified based on conversation information and domain specific content associated with device. Sequence of instructions corresponding to mapped user input, based on state of user and one or more similar troubleshooting actions, may be extracted from knowledge database.

Abstract: The present disclosure relates to method and system for providing context-based response for a user query. The method comprises generating current graphical structure for user query received from user which comprises one or more nodes corresponding to one or more words in the user query and one or more edges connecting the one or more nodes. Each node in the current graphical structure is associated with predefined indexing identification (ID) which is compared with predefined indexing IDs of one or more predefined graphical structures to identify one or more related predefined graphical structures. The one or more related predefined graphical structures are ranked based on number of predefined indexing IDs being matched. Based on comparison, system provides response corresponding to predefined question associated with related predefined graphical structure with highest rank. Therefore, present disclosure provides an efficient mechanism for providing context-based response to user queries.

Abstract: The present invention relates to a method for generating abstractive summary. The method comprises receiving a query for generating an abstractive summary from a document and splitting the query into one or more lexical units. Further, a semantic graph and a graph index is generated based on a role assigned to the one or more lexical units. Furthermore, a measure of information is determined for the retrieved one or more sentences. The one or more sentences having a semantic graph analogous to the generated semantic graph of the query are retrieved from the document. Finally, at least one of re-ordering and re-phrasing is performed on at least one of the retrieved one or more sentences based on the computed measure of information and the one or more lexical units in the retrieved one or more sentences to generate the abstractive summary.

Abstract: The present disclosure relates to method and system for providing context-based response for a user query. The method comprises generating current graphical structure for user query received from user which comprises one or more nodes corresponding to one or more words in the user query and one or more edges connecting the one or more nodes. Each node in the current graphical structure is associated with predefined indexing identification (ID) which is compared with predefined indexing IDs of one or more predefined graphical structures to identify one or more related predefined graphical structures. The one or more related predefined graphical structures are ranked based on number of predefined indexing IDs being matched. Based on comparison, system provides response corresponding to predefined question associated with related predefined graphical structure with highest rank. Therefore, present disclosure provides an efficient mechanism for providing context-based response to user queries.

Abstract: A method and system of language independent iterative learning mechanism for Natural Language Processing (NLP) tasks is disclosed. The method includes identifying at least one NLP feature associated with a set of words within a sentence for an NLP task. The method includes creating a pattern associated with the sentence for the NLP task, based on the at least one NLP feature associated with the set of words and the linkage relationship between each subset of two adjacent words. The method further includes computing a confidence score corresponding to the pattern, based on a comparison within a trained dataset. The method further includes assigning a pattern category to the pattern, based on the confidence score and a predefined threshold score. The method further includes executing the NLP task based on the assigned pattern category.

Abstract: Embodiments of present disclosure relates to robust and efficient, method and system for managing event engaged by participants in real-time. Initially, input data is received through multiple inputs modes. The input data includes text, audio, image, video, and gesture, associated with event and participants. Further, each participant is profiled, during event. Profiling is based on input data and pre-stored event data associated with event. Behavioural attributes of each participant is indexed based on input data, pre-stored event data and profiling of corresponding participant. Alerts are generated to provide to at least one participant, during event. The alerts are generated based on profiling and indexing of corresponding participant, input data and pre-stored event data. Upon end of event, event data is determined for event and participants, based on profiling, and indexing of participants. By this, event is managed efficiently and dynamically, with real-time alerts and recommendations.

Abstract: The present disclosure discloses method and a critical event managing system for managing time-critical events associated with critical devices. The critical event managing system identifies time-critical events from plurality of events based on predetermined factors related to the plurality of events. The plurality of events is determined from first procedural sequences identified from procedural narration by a practitioner and stored protocol manual. At least one of missed and incorrect events are determined based on comparison between reference and observed values associated with critical devices. A revised execution plan is provided iteratively based on historical data, data provided by practitioner, first procedural sequences, and metadata associated with plurality of parameters.

Abstract: The present disclosure discloses method and response generation system for generating dialogue responses for users in real-time. The response generation system receives pair of utterance from one or more sources, where pair of utterance comprise conversation between user and computing device, identifies one or more labels from utterance of pair of utterance that corresponds to user, where one or more labels exhibit relationship. One or more intent corresponding to each of identified one or more labels is determined, where one or more intent is restricted according to current context of utterance of user. A polarity of each of one or more intent is determined based on pre-defined scale comprising left bound and right bound and one or more responses for user are generated until determined polarity for each of labels from identified one or more labels is within pre-defined distance of left bound or right bound of pre-defined scale.

Abstract: A method and device for n-gram identification and extraction is disclosed. The method includes identifying at least one n-gram from a sentence inputted by a user based on a confidence score associated with each of the at least one n-gram. The method further includes determining a direction context entropy coefficient for each of the at least one n-gram. The method includes iteratively expanding one or more of the at least one n-gram by the smallest n-gram unit at each iteration in a predefined direction in the sentence to generate at least one expanded n-gram, based on an associated direction context entropy coefficient. The method further includes extracting at each expanding iteration one or more of the at least one expanded n-gram based on an associated confidence score. The method includes grouping semantically linked n-grams from the one or more of the at least one expanded n-gram.

Abstract: The present disclosure discloses method and guidance providing system for providing real-time guidance to users during troubleshooting of devices. The guidance providing system receives user input indicating troubleshooting actions on device, by user, where user input comprises textual input and non-textual input, identifies object in device associated with troubleshooting actions and state of user while performing troubleshooting actions, from non-textual input. The object identified from non-textual input is mapped with textual input to obtain mapped user input. Consistency of mapped user input is verified based on conversation information and domain specific content associated with device. Sequence of instructions corresponding to mapped user input, based on state of user and one or more similar troubleshooting actions, may be extracted from knowledge database.

Abstract: A method and system for providing dynamic conversation between an application and a user is discussed. The method includes utilizing a computing device to receive a requirement input from the user for the application. The method further includes determining a goal of the user based on the requirement input. Based on the goal, a plurality of conversation threads is initiated with the user, wherein each of the plurality of conversation threads has a degree of association with the goal. Thereafter, a plurality of slots is dynamically generated based on the goal and the plurality of conversation threads. A slot of the plurality of slots stores a data value corresponding to the requirement input of the user.

Abstract: The present disclosure discloses method and response generation system for generating dialogue responses for users in real-time. The response generation system receives pair of utterance from one or more sources, where pair of utterance comprise conversation between user and computing device, identifies one or more labels from utterance of pair of utterance that corresponds to user, where one or more labels exhibit relationship. One or more intent corresponding to each of identified one or more labels is determined, where one or more intent is restricted according to current context of utterance of user. A polarity of each of one or more intent is determined based on pre-defined scale comprising left bound and right bound and one or more responses for user are generated until determined polarity for each of labels from identified one or more labels is within pre-defined distance of left bound or right bound of pre-defined scale.

Abstract: A method and device for n-gram identification and extraction is disclosed. The method includes identifying at least one n-gram from a sentence inputted by a user based on a confidence score associated with each of the at least one n-gram. The method further includes determining a direction context entropy coefficient for each of the at least one n-gram. The method includes iteratively expanding one or more of the at least one n-gram by the smallest n-gram unit at each iteration in a predefined direction in the sentence to generate at least one expanded n-gram, based on an associated direction context entropy coefficient. The method further includes extracting at each expanding iteration one or more of the at least one expanded n-gram based on an associated confidence score. The method includes grouping semantically linked n-grams from the one or more of the at least one expanded n-gram.

Abstract: The present disclosure discloses a method and device for diagnosing problems in appliances. The device may receive a user input describing a problem related to an appliance. Further, the device extracts one or more objects from the user input for determining at least one effect of the problem and determines a problem domain based on the one or more objects. Further, the device retrieves a plurality of causes from the problem domain leading to the at least one effect. Furthermore, the device instructs user to perform at least one action and analyses user observations to determine an actual cause of the problem from the plurality of causes, for diagnosing the problem in appliances. The method and device of the present disclosure diagnoses problem in appliances by interacting with the user in real time.

Abstract: A method and system for providing dynamic conversation between an application and a user is discussed. The method includes utilizing a computing device to receive a requirement input from the user for the application. The method further includes determining a goal of the user based on the requirement input. Based on the goal, a plurality of conversation threads is initiated with the user, wherein each of the plurality of conversation threads has a degree of association with the goal. Thereafter, a plurality of slots is dynamically generated based on the goal and the plurality of conversation threads. A slot of the plurality of slots stores a data value corresponding to the requirement input of the user.

Abstract: Disclosed herein is method and system for dynamically generating adaptive responses to user interactions. A response generating system receives user interactions including user queries from the user. Generic characteristics and user specific features associated with the user are extracted by integrating the user interactions with pre-stored conversation history and data from data sources associated with the user. Further, domain specific keywords from the user interactions are extracted for identifying the domain associated with the user queries. Personality of the user is detected based on the generic characteristics and the user specific features. Finally, adaptive responses to the user queries are dynamically generated based on the personality of the user and the domain associated with the user queries. The method aims at enhancing overall user experience and satisfaction in the conversation along with minimizing the total time required for addressing the user queries.