AI Communication Summarization Using BERT Task-Relevant Extraction

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Solution Overview

Problem

Conventional communication processing techniques in enterprise contexts are often error-prone and resource-intensive, particularly in processing conversations between enterprise teams and clients.

Innovation Solution

Utilizing artificial intelligence techniques to identify relevant words, extract portions of communication data, and generate summarizations through BERT-based ensembled scoring algorithms, enabling automated communication data summarization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional communication processing techniques are used, then processing can be performed, but the process is error-prone and resource-intensive

Engineering Contradiction:

Improveprocessing accuracyVSAvoidresource intensity

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent replaces conventional mechanical processing systems with an AI-based system that uses BERT models and natural language processing techniques to analyze communication data, thereby improving accuracy while reducing manual resource requirements

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system automatically processes communication data by extracting entities, relationships, and summaries without requiring manual intervention, allowing the system to serve itself and reducing the need for human resources

Inventive Principle:

Principle #25Self-service

2Productivity

If conventional communication processing techniques are used, then processing can be performed, but the process is error-prone

Engineering Contradiction:

Improveprocessing efficiencyVSAvoidprocessing accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system incorporates feedback mechanisms where the BERT model continuously refines its understanding of communication data based on the extracted entities and relationships, improving both efficiency and accuracy through iterative processing

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

By substituting manual processing with AI-driven automated analysis, the system achieves both higher productivity and improved reliability through consistent, error-free processing of communication data

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If AI techniques are used for communication data summarization, then accuracy and efficiency are improved, but system complexity increases

Engineering Contradiction:

Improvesummarization accuracyVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the complex AI processing into distinct functional modules: entity extraction, relationship identification, and summary generation, making the system more manageable while maintaining high accuracy through specialized processing at each stage

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12536476B2Automated communication data summarization using artificial intelligence techniques

Publication Date: 2026.01.27 DELL PROD LP

AI summary

Methods, apparatus, and processor-readable storage media for automated communication data summarization using artificial intelligence techniques are provided herein. An example computer-implemented method includes identifying one or more words relevant to one or more predefined tasks by processing input communication data using a first set of one or more artificial intelligence techniques; extracting, based at least in part on the identifying of the one or more words, multiple portions of the input communication data into individual sub-portions of the input communication data; generating at least one summarization of the input communication data based at least in part on processing the sub-portions of the input communication data using a second set of one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the at least one summarization of the input communication data.