Automated Conference Note Linking via NLP

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

In collaboration environments, it is challenging to correlate notes taken during or after conferences with the relevant topics discussed, leading to potential loss of important ideas and information.

Innovation Solution

A system and method that automatically link notes to a transcript of a conference using natural language processing, allowing users to easily identify and access related content.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If manual note-taking during conferences is used, then users can capture important ideas and information, but it becomes difficult to correlate notes with relevant conference topics, leading to loss of information

Engineering Contradiction:

Improveloss of conference informationVSAvoiddifficulty in correlating notes with topics

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The system automatically correlates notes with conference transcripts using natural language processing, eliminating the need for manual correlation by the user. The system serves itself by automatically matching note content with relevant transcript segments based on semantic similarity and temporal proximity.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical note-correlation processes with automated computational systems. Natural language processing algorithms substitute for human analysis, automatically matching notes with relevant conference topics and timestamps without user intervention.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If automated linking of notes to transcripts is implemented, then information correlation is improved, but system complexity increases

Engineering Contradiction:

Improveaccuracy of note-transcript correlationVSAvoidcomplexity of linking system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system introduces natural language processing as an intermediary layer between notes and transcripts. This intermediary automatically processes and matches the content, simplifying the overall system architecture while improving correlation accuracy through computational intelligence.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system transforms the correlation problem from manual to automated by changing the processing parameters. Natural language processing algorithms analyze semantic meaning, temporal context, and content similarity to automatically determine correlations, replacing complex manual matching procedures.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20250117570A1Systems and methods for linking notes and transcripts

Publication Date: 2025.04.10 RINGCENTRAL INC

AI summary

The present disclosure relates to systems and methods for automatically linking a note to a transcript of a conference. According to one of the embodiments a computer-implemented method is provided. The method comprises: receiving a transcript of a conference and a note from a conference participant; responsive to receiving the transcript of the conference and the note, applying a natural language processing on a content of the note and on a content of the transcript; identifying a matching content between the content of the note and the content of the transcript; generating a link corresponding to the matching content; and causing to display the link corresponding to the matching content.