Oracle international corporation (20240126999). DISTANCE-BASED LOGIT VALUE FOR NATURAL LANGUAGE PROCESSING simplified abstract

DISTANCE-BASED LOGIT VALUE FOR NATURAL LANGUAGE PROCESSING

Organization Name

oracle international corporation

Inventor(s)

Ying Xu of Albion (AU)

Poorya Zaremoodi of Melbourne (AU)

Thanh Tien Vu of Brisbane (AU)

Cong Duy Vu Hoang of Wantirna South (AU)

Vladislav Blinov of Melbourne (AU)

Yu-Heng Hong of Carlton (AU)

Yakupitiyage Don Thanuja Samodhye Dharmasiri of Melbourne (AU)

Vishal Vishnoi of Redwood City CA (US)

Elias Luqman Jalaluddin of Seattle WA (US)

Manish Parekh of San Jose CA (US)

Thanh Long Duong of Pointcook (AU)

Mark Edward Johnson of Castle Cove (AU)

DISTANCE-BASED LOGIT VALUE FOR NATURAL LANGUAGE PROCESSING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240126999 titled 'DISTANCE-BASED LOGIT VALUE FOR NATURAL LANGUAGE PROCESSING

Simplified Explanation

The abstract describes a method for using logit values to classify utterances in chatbot systems in natural language processing.

• Chatbot system receives user utterance
• Utterance input into machine-learning model with binary classifiers
• Each binary classifier associated with modified logit function
• Model generates distance-based logit values for utterance
• Enhanced activation function applied to logit values for predicted output
• Chatbot system classifies utterance based on predicted output

Potential Applications

This technology can be applied in various chatbot systems, customer service platforms, virtual assistants, and automated messaging systems.

Problems Solved

1. Improved accuracy in classifying user utterances 2. Enhanced natural language processing capabilities in chatbot systems

Benefits

1. Increased efficiency in responding to user queries 2. Enhanced user experience in interacting with chatbot systems 3. Streamlined communication process in automated messaging systems

Potential Commercial Applications

Optimizing customer service platforms, developing advanced virtual assistants, enhancing automated messaging systems for businesses.

Possible Prior Art

One possible prior art could be the use of machine learning models with binary classifiers in natural language processing systems.

What are the potential limitations of this technology?

One potential limitation of this technology could be the complexity of implementing and training the machine-learning model with binary classifiers and modified logit functions.

How does this technology compare to existing methods for classifying utterances in chatbot systems?

This technology offers a more sophisticated approach by using modified logit functions and distance-based logit values to classify utterances, potentially leading to more accurate and efficient results compared to traditional methods.

Original Abstract Submitted

techniques for using logit values for classifying utterances and messages input to chatbot systems in natural language processing. a method can include a chatbot system receiving an utterance generated by a user interacting with the chatbot system. the chatbot system can input the utterance into a machine-learning model including a set of binary classifiers. each binary classifier of the set of binary classifiers can be associated with a modified logit function. the method can also include the machine-learning model using the modified logit function to generate a set of distance-based logit values for the utterance. the method can also include the machine-learning model applying an enhanced activation function to the set of distance-based logit values to generate a predicted output. the method can also include the chatbot system classifying, based on the predicted output, the utterance as being associated with the particular class.