Abstract: Existing semi-supervised and unsupervised approaches for intent discovery require an estimate of the number of new intents present in the user logs. The present disclosure receives labeled utterances from known intents and update parameters of a pre-trained language model (PLM). Representation learning and clustering is performed iteratively using labeled and unlabeled utterances from known intents and unlabeled utterances from unknown intents to fine-tune PLM and a plurality of clusters is generated. Cluster merger algorithm is executed iteratively on generated plurality of clusters. A query cluster is obtained by randomly selecting one cluster from the plurality of clusters and by obtaining a corresponding plurality of nearest neighbors based on a cosine-similarity. A response for merging the query cluster and corresponding plurality of nearest neighbors is obtained, and a new cluster is created.

Abstract: Embodiments disclosed herein model lifelong intent detection as a class-incremental learning where a new set of intents/classes are added at each incremental step. To address the issue of catastrophic forgetting during lifelong intent detection (LID), an incremental learner is provided with Prompt Augmented Generative Replay, wherein unlike existing approaches that store real samples in replay memory, only concept words obtained from old intents are stored, which reduces memory consumption and speeds up incremental training still enabling not forgetting the old intents. Joint training of an incremental learner is carried out for LID and a pseudo-labeled utterance generation with objective is to classify a user utterance into one of multiple pre-defined intents by minimizing a total Loss function comprising a LID loss function, a Labeled Utterance Generation loss function, a Supervised Contrastive Training loss function, and a Knowledge Distillation loss function.

Abstract: A system, a computing platform, and a method of integrating data from a plurality of data sources are disclosed herein. The method includes receiving datapoints from the plurality of data sources via one or more connectors in real-time. The datapoints are received in accordance with a data model represented at least in part by the one or more connectors. The method includes generating relationships between the datapoints based on at least a semantic mapping of the datapoints using a semantic model, and integrating the datapoints from the plurality of data sources in real-time based on at least one of the relationships and the data model.

Abstract: A method for an asynchronous data exchange between a PLM system and an external user. The method includes defining an exchange definition object related to product data, packing the exchange definition object for transfer, publishing the packed exchange definition object through an SRM to a browser of the external user, receiving a product data download request from the browser of the external user through the SRM, transferring the product data from a file management system of the PLM system to the file transfer manager of the external user, receiving a response exchange definition object from the browser of the external user through the SRM, and receiving the response product data from the file transfer manager of the external user.

Abstract: A method for controlling access to enterprise objects for an external user. The method includes receiving a search request from an external SRM for access to an enterprise object in an enterprise system, evaluating an enterprise rule tree to determine access and editing privileges granted to an external user accessor for the enterprise object, granting the access and editing privileges to the external user accessor based upon the enterprise rule tree, and sending the enterprise object as external user data to the SRM when the enterprise rule tree authenticates the external user accessor.

Abstract: A method for an asynchronous data exchange between a PLM system and an external user. The method includes defining an exchange definition object related to product data, packing the exchange definition object for transfer, publishing the packed exchange definition object through an SRM to a browser of the external user, receiving a product data download request from the browser of the external user through the SRM, transferring the product data from a file management system of the PLM system to the file transfer manager of the external user, receiving a response exchange definition object from the browser of the external user through the SRM, and receiving the response product data from the file transfer manager of the external user.