公开(公告)号：US20240419910A1

公开(公告)日：2024-12-19

申请号：US18819441

申请日：2024-08-29

Applicant: Oracle International Corporation

Inventor： Thanh Long Duong ,  Vishal Vishnoi ,  Mark Edward Johnson ,  Elias Luqman Jalaluddin ,  Tuyen Quang Pham ,  Cong Duy Vu Hoang ,  Poorya Zaremoodi ,  Srinivasa Phani Kumar Gadde ,  Aashna Devang Kanuga ,  Zikai Li ,  Yuanxu Wu

IPC: G06F40/289 ,  G06F40/166 ,  G06F40/205 ,  G06F40/263 ,  G06F40/279 ,  G06F40/295 ,  G06N3/08 ,  H04L51/02

Abstract: A method includes receiving an indication of a first coverage value corresponding to a desired overlap between a dataset of natural language phrases and a training dataset for training a machine learning model; determining a second coverage value corresponding to a measured overlap between the dataset of natural language phrases and the training dataset; determining a coverage delta value based on a comparison between the first coverage value and the second coverage value; modifying, based on the coverage delta value, the dataset of natural language phrases; and processing, utilizing a machine learning model including the modified dataset of natural language phrases, an input dataset including a set of input features. The machine learning model processes the input dataset based at least in part on the dataset of natural language phrases to generate an output dataset.

公开(公告)号：US20220229991A1

公开(公告)日：2022-07-21

申请号：US17580535

申请日：2022-01-20

Applicant: Oracle International Corporation

Inventor： Thanh Long Duong ,  Vishal Vishnoi ,  Mark Edward Johnson ,  Elias Luqman Jalaluddin ,  Tuyen Quang Pham ,  Cong Duy Vu Hoang ,  Poorya Zaremoodi ,  Srinivasa Phani Kumar Gadde ,  Aashna Devang Kanuga ,  Zikai Li ,  Yuanxu Wu

IPC: G06F40/289 ,  G06F40/166 ,  G06N3/08

Abstract: Techniques are disclosed for systems including techniques for multi-feature balancing for natural langue processors. In an embodiment, a method includes receiving a natural language query to be processed by a machine learning model, the machine learning model utilizing a dataset of natural language phrases for processing natural language queries, determining, based on the machine learning model and the natural language query, a feature dropout value, generating, and based on the natural language query, one or more contextual features and one or more expressional features that may be input to the machine learning model, modifying at least one or the one or more contextual features and the one or more expressional features based on the feature dropout value to generate a set of input features for the machine learning model, and processing the set of input features to cause generating an output dataset for corresponding to the natural language query.

公开(公告)号：US12153885B2

公开(公告)日：2024-11-26

申请号：US17580535

申请日：2022-01-20

Applicant: Oracle International Corporation

Inventor： Thanh Long Duong ,  Vishal Vishnoi ,  Mark Edward Johnson ,  Elias Luqman Jalaluddin ,  Tuyen Quang Pham ,  Cong Duy Vu Hoang ,  Poorya Zaremoodi ,  Srinivasa Phani Kumar Gadde ,  Aashna Devang Kanuga ,  Zikai Li ,  Yuanxu Wu

IPC: G06F40/289 ,  G06F40/166 ,  G06F40/205 ,  G06F40/263 ,  G06F40/279 ,  G06F40/295 ,  G06N3/08 ,  H04L51/02

Abstract: Techniques are disclosed for systems including techniques for multi-feature balancing for natural langue processors. In an embodiment, a method includes receiving a natural language query to be processed by a machine learning model, the machine learning model utilizing a dataset of natural language phrases for processing natural language queries, determining, based on the machine learning model and the natural language query, a feature dropout value, generating, and based on the natural language query, one or more contextual features and one or more expressional features that may be input to the machine learning model, modifying at least one or the one or more contextual features and the one or more expressional features based on the feature dropout value to generate a set of input features for the machine learning model, and processing the set of input features to cause generating an output dataset for corresponding to the natural language query.

公开(公告)号：US20240062011A1

公开(公告)日：2024-02-22

申请号：US18351680

申请日：2023-07-13

Applicant: Oracle International Corporation

Inventor： Aashna Devang Kanuga ,  Cong Duy Vu Hoang ,  Mark Edward Johnson ,  Vasisht Raghavendra ,  Yuanxu Wu ,  Steve Wai-Chun Siu ,  Nitika Mathur ,  Gioacchino Tangari ,  Shubham Pawankumar Shah ,  Vanshika Sridharan ,  Zikai Li ,  Diego Andres Cornejo Barra ,  Stephen Andrew McRitchie ,  Christopher Mark Broadbent ,  Vishal Vishnoi ,  Srinivasa Phani Kumar Gadde ,  Poorya Zaremoodi ,  Thanh Long Duong ,  Bhagya Gayathri Hettige ,  Tuyen Quang Pham ,  Arash Shamaei ,  Thanh Tien Vu ,  Yakupitiyage Don Thanuja Samodhve Dharmasiri

IPC: G06F40/295 ,  G06F40/284 ,  G06F40/211 ,  G06F40/35

CPC classification number: G06F40/295 ,  G06F40/284 ,  G06F40/211 ,  G06F40/35

Abstract: Techniques are disclosed herein for using named entity recognition to resolve entity expression while transforming natural language to a meaning representation language. In one aspect, a method includes accessing natural language text, predicting, by a first machine learning model, a class label for a token in the natural language text, predicting, by a second machine-learning model, operators for a meaning representation language and a value or value span for each attribute of the operators, in response to determining that the value or value span for a particular attribute matches the class label, converting a portion of the natural language text for the value or value span into a resolved format, and outputting syntax for the meaning representation language. The syntax comprises the operators with the portion of the natural language text for the value or value span in the resolved format.