Cadence Design Systems, Inc.

Unitedhealth Group Incorporated

Ankur Gulati

Naresh Kumar

Sushobhit Singh

Chirag Mittal

Rajesh Sabapathy

Shashank Prasad

Gourav Awasthi

Beenish

Aditya Teja Josyula

Lubna Khan

Vishal Karda

Tarun Bansal

As described herein, various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing natural language processing operations for generating guided summaries using summarization templates that are mapped to hybrid classes of a hybrid classification space for a hybrid classification machine learning model. In some embodiments, by using summarization templates, a proposed summarization framework is able to vastly reduce the computational complexity of performing summarization on an input document data object, such as an input multi-party communication transcript data object, by defining the set of dynamic data fields that apply to the input document data object based at least in part on an assigned class/category of the input document data object.

Natural language processing techniques for machine-learning-guided summarization using hybrid class templates

The present disclosure relates to a system for performing static timing analysis in an electronic design. Embodiments may include providing, using at least one processor, an electronic design and extracting hierarchical crossing path exception information from a hierarchical design view associated with the electronic design. Embodiments may further include transferring the hierarchical crossing path exception information to a block view associated with the electronic design and extracting a timing model based upon, at least in part, the hierarchical crossing path exception information. Embodiments may also include implementing the timing model at a top-level view associated with the electronic design.

Systems and methods for extracting hierarchical path exception timing models

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Haryana, India

Ankur Gulati