Session: Dialog Summarization: Business Cases and Features
Dialogue summarization aims to extract the most important information from a dialogue into a shorter passage, which can help people quickly understand of a semistructured and multi-participant dialogue without reviewing the full вialogue context. Standard methods of summarization cannot always be used for this type of summation. However, this type of summarization has a very large application in business.
Bio
I am working as NLP Engineer in CHI Software, my experience in NLP area more 10 years. My PhD thesis was related with knowledge representations and information retrieval in librarian systems. I have scientific experience and publications in NLP area. I was participated European projects and worked with different NLP tasks as image tag sense disambiguation, image tag normalization, tag translation etc.
I am a Member of SIGSLAV group, it’s the Special Interest group on Slavic Natural Language Processing. Also I am one of the organizers of the International conference CoLInS from 2007.