Hierarchical Reason-of-Contact Detection in Retail Banking Customer Interactions via LLM-Driven Taxonomy Induction (2026.acl-industry)
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| Challenge: | Existing approaches to define customer intents or contact reasons are fragmented and manual . existing systems fail to capture the linguistic diversity of thousands of daily callers . |
| Approach: | They propose a framework that develops a hierarchical Reason-of-Contact taxonomy . it covers hundreds of business processes and can be deployed in real time . |
| Outcome: | The proposed framework achieves 10% improvement in F1 score over baseline approaches on a reference dataset. |
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