17933917. ARTIFICIAL INTELLIGENCE (AI) AND NATURAL LANGUAGE PROCESSING (NLP) FOR IMPROVED QUESTION/ANSWER SESSIONS IN TELECONFERENCES simplified abstract (International Business Machines Corporation)

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 17933917 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 and aggregating questions from a real-time online meeting chat, predicting answerability and time to answer, and presenting the questions to attendees and presenters.

• Questions are extracted and grouped based on duplicates.
• Feedback is received and applied to the groups from a subset of attendees.
• Answerability of questions is predicted.
• Time to answer answerable questions is predicted.
• Answerable questions are sequenced, filtered, prioritized, and presented to attendees and presenters.

Potential Applications

This technology could be applied in various industries such as education, customer service, and online training platforms to streamline question and answer processes.

Problems Solved

1. Streamlining the process of extracting, aggregating, and presenting questions in real-time online meetings. 2. Predicting answerability and time to answer questions to improve efficiency and productivity.

Benefits

1. Improved organization and prioritization of questions in online meetings. 2. Enhanced user experience for attendees and presenters. 3. Increased efficiency in answering questions during online meetings.

Potential Commercial Applications

Optimizing question and answer processes in virtual events, webinars, online training sessions, and customer support interactions.

Possible Prior Art

There may be prior art related to question aggregation and prediction systems in online communication platforms or chat applications.

How does this technology handle non-textual questions in the chat?

The patent application does not specify how non-textual questions, such as images or emojis, are processed and aggregated in the chat. This aspect could be further explored to understand the full scope of the technology.

What measures are in place to ensure the accuracy of the predicted answerability of questions?

The patent application mentions predicting the answerability of questions, but it does not detail the specific algorithms or methods used to make these predictions. Further information on the accuracy and reliability of these predictions would be beneficial for understanding the technology's effectiveness.

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.