Automated Action Item Generation from Meeting Transcripts

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Solution Overview

Problem

Manual creation of action items from meeting transcripts is inefficient and prone to inaccuracies, such as incorrect assignments and deadlines.

Innovation Solution

A computer-implemented method that chunks meeting transcripts using a meeting topic model, extracts action item information, and generates action items automatically, enabling efficient and accurate creation of action items.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual creation of action items is used, then flexibility and human judgment are maintained, but efficiency decreases and inaccuracies increase

Engineering Contradiction:

Improveefficiency of action item creationVSAvoidaccuracy of action item creation

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system enables self-service by automatically generating action items from meeting transcripts without requiring manual intervention. The processor extracts action items, assigns them to participants, sets deadlines, and identifies dependencies autonomously, eliminating the need for manual creation while maintaining high accuracy through structured extraction rules and validation mechanisms.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual process of action item creation with an automated computational system. The processor uses text analysis, pattern recognition, and rule-based extraction to substitute human manual effort, thereby increasing efficiency while maintaining reliability through consistent application of extraction criteria and validation protocols.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Loss of time

If manual creation of action items is used, then human judgment can be applied, but time consumption increases

Engineering Contradiction:

Improvetime to create action itemsVSAvoidcreation efficiency

Core Design Contradiction:

Loss of timeVSProductivity

Solution Approach 1:

The system performs preliminary action by automatically processing meeting transcripts and generating action items immediately after meetings conclude. The processor extracts and structures action item information in real-time or near-real-time, eliminating the delay associated with manual post-meeting processing and enabling immediate assignment and tracking of actions.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If automated generation is implemented, then efficiency increases, but system complexity increases

Engineering Contradiction:

Improveaction item creation efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent applies segmentation by dividing the action item creation process into distinct modular components: transcript processing, action item extraction, participant identification, deadline assignment, and dependency detection. Each module performs a specific function independently, reducing overall system complexity while maintaining high automation efficiency through standardized interfaces between components.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS10102198B2Automatic generation of action items from a meeting transcript

Publication Date: 2018.10.16 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Examples of techniques for generating a plurality of action items from a meeting transcript of a meeting are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method comprises chunking the meeting transcript into a plurality of chunks using a meeting topic model. The computer-implemented method also comprises performing, by a processor, information extraction on the plurality of chunks to extract action item information from the plurality of chunks. The computer-implemented method further comprises generating the plurality of action items based on the extracted action item information.