International business machines corporation (20240095446). ARTIFICIAL INTELLIGENCE (AI) AND NATURAL LANGUAGE PROCESSING (NLP) FOR IMPROVED QUESTION/ANSWER SESSIONS IN TELECONFERENCES simplified abstract

ARTIFICIAL INTELLIGENCE (AI) AND NATURAL LANGUAGE PROCESSING (NLP) FOR IMPROVED QUESTION/ANSWER SESSIONS IN TELECONFERENCES

Organization Name

international business machines corporation

Inventor(s)

Avinash Tukaram Mane of Chinchwad (IN)

Ratnakar Behera of Bangalore (IN)

Sanket Jain of Gurgaon (IN)

ZHENG Xie of Clontarf (IE)

Krishnasuri Narayanam of Bangalore (IN)

JOY Patra of Dublin (IE)

ARTIFICIAL INTELLIGENCE (AI) AND NATURAL LANGUAGE PROCESSING (NLP) FOR IMPROVED QUESTION/ANSWER SESSIONS IN TELECONFERENCES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240095446 titled 'ARTIFICIAL INTELLIGENCE (AI) AND NATURAL LANGUAGE PROCESSING (NLP) FOR IMPROVED QUESTION/ANSWER SESSIONS IN TELECONFERENCES

Simplified Explanation

The patent application describes a method, computer program product, and computer system for extracting questions from a real-time chat during an online meeting, aggregating them into groups, predicting answerability and time to answer, and presenting them to attendees and presenters.

• Method for extracting questions from real-time chat during online meetings
• Aggregating questions into groups of duplicate questions
• Predicting answerability of questions
• Predicting time to answer answerable questions
• Sequencing, filtering, prioritizing, and presenting answerable questions to attendees and presenters

Potential Applications

This technology could be applied in various industries such as education, customer service, and team collaboration tools to streamline communication and improve efficiency.

Problems Solved

1. Streamlining the process of handling questions during online meetings 2. Improving engagement and interaction among attendees and presenters

Benefits

1. Enhanced organization and categorization of questions 2. Efficient allocation of time and resources for answering questions 3. Improved overall meeting experience for attendees and presenters

Potential Commercial Applications

Optimizing virtual events, enhancing customer support services, and improving team collaboration platforms could be potential commercial applications of this technology.

Possible Prior Art

Prior art may include existing chatbot technologies, real-time transcription services, and question-answering systems used in virtual meetings.

Question 1: How does the system prioritize which questions to present to attendees and presenters?

The system prioritizes questions based on factors such as relevance, answerability, and attendee feedback.

Question 2: Can this technology be integrated with existing online meeting platforms?

Yes, this technology can be integrated with various online meeting platforms through APIs or custom integrations.

Original Abstract Submitted

method, computer program product, and computer system are provided. questions are extracted from a chat in real-time during an online meeting and are aggregated into groups of duplicate questions. the groups are presented to a subset of attendees whose question is in the group. feedback is received and applied to the group from the subset of attendees. whether a question is answerable is predicted. for answerable questions an amount of time to answer the question is predicted. the answerable questions are sequenced, filtered, prioritized, and presented to an attendee interface and a presenter interface.