Clarify, Then Focus: Statement Normalization for Conversation Analytics at Scale
Enterprise conversation analytics asks many questions of millions of interactions. Each question can require reconstructing what people mean and identifying which information matters, repeating costly interpretive work across the same transcripts.
By Mikhail L. Arbuzov (Independent researcher), Karan Dave (Independent researcher), Evgeniya Dontsova (Independent researcher), Yaodong Hu (Independent researcher), Vincent Lao (Independent researcher), Navita Jain (Independent researcher), Sisong Bei (Independent researcher), Dmitry Dimov (Independent researcher)arXiv - cs.CL (NLP)
Read the full story
Originally published by arXiv - cs.CL (NLP) on Oct 9, 2026.
Comments
Sign in to join the discussion.