Patents by Inventor Asif Ekbal

Asif Ekbal has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230072171
    Abstract: A system and method for training and refining a machine learning model is disclosed. The disclosed system and method can further improve the accuracy of trained machine learning models by calculating which threshold values for predictions (e.g., probabilities output by the machine learning model) provide the most accurate results. The system and method may include applying an optimization technique (e.g., multi-objective optimization) to calculate which threshold values result in the best combination of precision and recall. In other words, the system and method adjust threshold values for prediction scores to optimize the objects of precision and recall. A machine learning model trained with these adjusted threshold values can determine when an input belongs to an unknown class because the unknown input has prediction scores below the threshold values for every known class. Embodiments may include refining an intent classifier to better classify unknown intents.
    Type: Application
    Filed: June 10, 2022
    Publication date: March 9, 2023
    Inventors: Shubhashis Sengupta, Roshni Ramesh Ramnani, Sakshi Jain, Prerna Prem, Asif Ekbal, Zishan Ahmad
  • Publication number: 20220156582
    Abstract: Techniques for building knowledge graphs from conversational data are disclosed. The systems include a high-performance relation classifier developed with active learning and requiring minimal supervision. The classifier is used to classify relation triples extracted from conversational text, which are then used to populate the knowledge graph. A heuristic for constructing the knowledge graph is also disclosed. The proposed embodiments provide a way to efficiently build and/or augment knowledge graphs and improve the quality of the generated responses by a dialogue agent despite a sparsity of data.
    Type: Application
    Filed: May 6, 2021
    Publication date: May 19, 2022
    Inventors: Shubhashis Sengupta, Anutosh Maitra, Roshni Ramesh Ramnani, Zishan Ahmad, Pushpak Bhattacharyya, Asif Ekbal
  • Publication number: 20180341871
    Abstract: 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.
    Type: Application
    Filed: May 24, 2018
    Publication date: November 29, 2018
    Inventors: Anutosh MAITRA, Shubhashis Sengupta, Tom Geo Jain, Sanjay Podder, Rajkumar Pujari, Deepak Gupta, Asif Ekbal, Pushpak Bhattacharyya