An End-to-End Dialogue Summarization System for Sales Calls (2022.naacl-industry)
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| Challenge: | Summarizing sales calls is a routine task performed manually by salespeople. |
| Approach: | They propose a production system which combines generative models fine-tuned for customer-agent setting, with a human-in-the-loop user experience for an interactive summary curation process. |
| Outcome: | The proposed system can handle training data scarcity and privacy constraints in an industrial setting. |
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| Challenge: | Abstractive dialogue summarization systems are trained to maximize the likelihood of human-written summaries, but there is still a huge gap in generating high-quality summary as determined by humans. |
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