Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization (2026.eacl-industry)
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Kushal Chawla, Chenyang Zhu, Pengshan Cai, Sangwoo Cho, Scott Novotney, Ayushman Singh, Jonah Lewis, Keasha Safewright, Alfy Samuel, Erin Babinsky, Shi-Xiong Zhang, Sambit Sahu
| Challenge: | Summarization of multi-party dialogues is a critical capability in industry . but generating high-quality summaries in practice is challenging . prior work has focused on static datasets and benchmarks, a condition rare in practical scenarios . |
| Approach: | They present an agentic system to summarize multi-party interactions using static datasets. |
| Outcome: | The proposed system can summarize multi-party interactions using a set of complex requirements. |
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