@inproceedings{mitra-etal-2022-icm,
title = "{ICM} : Intent and Conversational Mining from Conversation Logs",
author = "Mitra, Sayantan and
Ramnani, Roshni and
Ranjan, Sumit and
Sengupta, Shubhashis",
editor = "Lemon, Oliver and
Hakkani-Tur, Dilek and
Li, Junyi Jessy and
Ashrafzadeh, Arash and
Garcia, Daniel Hern{\'a}ndez and
Alikhani, Malihe and
Vandyke, David and
Du{\v{s}}ek, Ond{\v{r}}ej",
booktitle = "Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue",
month = sep,
year = "2022",
address = "Edinburgh, UK",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.sigdial-1.39",
doi = "10.18653/v1/2022.sigdial-1.39",
pages = "403--406",
abstract = "Building conversation agents requires a large amount of manual effort in creating training data for intents / entities as well as mapping out extensive conversation flows. In this demonstration, we present ICM (Intent and conversation Mining), a tool which can be used to analyze existing conversation logs and help a bot designer analyze customer intents, train a custom intent model as well as map and optimize conversation flows. The tool can be used for first time deployment or subsequent deployments of chatbots.",
}
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%0 Conference Proceedings
%T ICM : Intent and Conversational Mining from Conversation Logs
%A Mitra, Sayantan
%A Ramnani, Roshni
%A Ranjan, Sumit
%A Sengupta, Shubhashis
%Y Lemon, Oliver
%Y Hakkani-Tur, Dilek
%Y Li, Junyi Jessy
%Y Ashrafzadeh, Arash
%Y Garcia, Daniel Hernández
%Y Alikhani, Malihe
%Y Vandyke, David
%Y Dušek, Ondřej
%S Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
%D 2022
%8 September
%I Association for Computational Linguistics
%C Edinburgh, UK
%F mitra-etal-2022-icm
%X Building conversation agents requires a large amount of manual effort in creating training data for intents / entities as well as mapping out extensive conversation flows. In this demonstration, we present ICM (Intent and conversation Mining), a tool which can be used to analyze existing conversation logs and help a bot designer analyze customer intents, train a custom intent model as well as map and optimize conversation flows. The tool can be used for first time deployment or subsequent deployments of chatbots.
%R 10.18653/v1/2022.sigdial-1.39
%U https://aclanthology.org/2022.sigdial-1.39
%U https://doi.org/10.18653/v1/2022.sigdial-1.39
%P 403-406
Markdown (Informal)
[ICM : Intent and Conversational Mining from Conversation Logs](https://aclanthology.org/2022.sigdial-1.39) (Mitra et al., SIGDIAL 2022)
ACL
- Sayantan Mitra, Roshni Ramnani, Sumit Ranjan, and Shubhashis Sengupta. 2022. ICM : Intent and Conversational Mining from Conversation Logs. In Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 403–406, Edinburgh, UK. Association for Computational Linguistics.