Long Dialog Summarization: An Analysis

• URL: http://arxiv.org/abs/2402.16986v1
• Date: Mon, 26 Feb 2024 19:35:45 GMT
• Title: Long Dialog Summarization: An Analysis
• Authors: Ankan Mullick, Ayan Kumar Bhowmick, Raghav R, Ravi Kokku, Prasenjit Dey, Pawan Goyal, Niloy Ganguly
• Abstract summary: This work emphasizes the significance of creating coherent and contextually rich summaries for effective communication in various applications. We explore current state-of-the-art approaches for long dialog summarization in different domains and benchmark metrics based evaluations show that one single model does not perform well across various areas for distinct summarization tasks.
• Score: 28.223798877781054
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: Dialog summarization has become increasingly important in managing and comprehending large-scale conversations across various domains. This task presents unique challenges in capturing the key points, context, and nuances of multi-turn long conversations for summarization. It is worth noting that the summarization techniques may vary based on specific requirements such as in a shopping-chatbot scenario, the dialog summary helps to learn user preferences, whereas in the case of a customer call center, the summary may involve the problem attributes that a user specified, and the final resolution provided. This work emphasizes the significance of creating coherent and contextually rich summaries for effective communication in various applications. We explore current state-of-the-art approaches for long dialog summarization in different domains and benchmark metrics based evaluations show that one single model does not perform well across various areas for distinct summarization tasks.

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